platform engineer

analytics engineer

engineering manager

product manager

senior product manager

enterprise architect salesforce marketing cloud

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h1 class="jobSectionHeader">Forward Deployed Engineer &mdash; Agentforce Orchestration
</h1><h3 class="jobSectionHeader">About the Role
</h3>As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop.
Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers , you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one.
<h3 class="jobSectionHeader">What You'll Actually Be Building
</h3><ul><li>Workflow &amp; Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO , defining agent reasoning, tool-calling logic, and conditional execution loops.
</li><li>Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
</li><li>Enterprise AI Grounding Systems: Architect, build, and maintain real-time data grounding infrastructure using RAG (Retrieval-Augmented Generation) , vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
</li><li>Enterprise Integration &amp; API Management: Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
</li><li>AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
</li><li>Telemetry &amp; Observability: Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
</li><li>Field-to-Product Feedback: Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.
</li></ul><h3 class="jobSectionHeader">Required Qualifications
</h3><ul><li>3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
</li><li>High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
</li><li>Hands-on AI &amp; Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
</li><li>Multi-Agent Systems &amp; API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
</li><li>Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
</li><li>Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
</li><li>Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
</li><li>Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
</li><li>Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
</li><li>Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
</li><li>Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
</li><li>Willingness to travel 25-30% for on-site deployment with key enterprise accounts.
</li></ul>Preferred Qualifications
<ul><li>Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
</li><li>Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
</li><li>Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
</li><li>Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Agentforce Operations FDE

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 
D360 FORWARD DEPLOYED ENGINEER
<h1 class="jobSectionHeader">About Salesforce
</h1>Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases.
<h1 class="jobSectionHeader">About the Role
</h1>Production implementation experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce&rsquo;s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness.
Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.
You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff.
This is a hands-on data and software engineering role . You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it.
<h1 class="jobSectionHeader">What You'll Do
</h1><ul><li>Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls.
</li><li>Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric).
</li><li>Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
</li><li>Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data.
</li><li>Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.
</li><li>Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
</li><li>Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems.
</li><li>Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies.
</li><li>Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.
</li><li>Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead.
</li><li>Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value.
</li><li>Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations.
</li><li>Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support.
</li></ul>You're Our Data 360 Forward Deployed Engineer If...
<ul><li>You have 5+ years of experience in software engineering, data engineering, or technical implementation , including a production data solution you can explain in detail.
</li><li>You have a bachelor's degree in Computer Science or equivalent practical experience.
</li><li>You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
</li><li>You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
</li><li>You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks.
</li><li>You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed.
</li><li>You understand data modeling, APIs, integration patterns, batch and streaming processing , and the practical differences between copied, federated, and Zero Copy data access.
</li><li>You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance.
</li><li>You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
</li><li>You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases .
</li><li>You diagnose technical problems methodically , use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
</li><li>You can implement against a documented architecture , explain what you built to customer technical teams, and recognize when a question requires an architect or security owner.
</li><li>You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments .
</li><li>You are excited to work directly with customer administrators, developers, data engineers, and architects.
</li><li>You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform. 
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Data360 FDE

Wunderman Thompson

<div>Aug 24, 2026
<div><div><h4 class="jobSectionHeader">Who We Are</h4>
MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients&rsquo; businesses.
About WPP
MAP is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.
</div>WPP Enterprise Solutions MAP is looking for an Experience Strategy Director to lead where connected customer experience goes next &ndash; for our clients, and for the capability itself. You'll bring deep expertise in CRM, personalization, and loyalty to a portfolio of global clients, and help set the direction for how we build first-party-data-driven experiences at scale.
<h2 class="jobSectionHeader">What will your day look like?</h2>
As an Experience Strategy Director, you set the strategic direction for how we build cohesive, customer-first experiences across marketing automation, personalization, loyalty, and CRM for a portfolio of global clients. You will own the end-to-end customer experience, translating business opportunities into outcomes that are as engaging for consumers as they are commercially viable for our clients, staying close to the data, technology, and capabilities that turn that strategy into real, compelling interactions.
Your role is highly client-facing and you&rsquo;ll build and own relationships with client leadership and key stakeholders, both internally and externally, pushing innovative thinking and setting the bar for best-in-class solutions across everything your portfolio delivers. You'll work closely with the wider client team &ndash; strategists, technologists, data specialists, and creatives &ndash; steering their work toward a single, connected vision of the customer experience.
You'll lead complex client engagements across your accounts, bringing deep specialist expertise within a core proposition such as personalization or loyalty. You're also a driving force behind the experience strategy capability itself &ndash; evangelizing and refining our experience strategy service lines, educating strategists and clients alike, and leading major new business pursuits that grow our footprint.
Client Delivery
<ul><li>Set the strategic direction for your accounts, applying deep specialist expertise within a core proposition such as personalization or loyalty to every engagement.
</li></ul><ul><li>Own strategic impact, delivery quality, and client satisfaction across your accounts, while keeping utilization and billability healthy across your client teams.
</li></ul><ul><li>Act as a strategic partner and thought leader to client leadership, shaping their broader CX and marketing strategy, not just the immediate brief in front of you.
</li></ul><ul><li>Maximize the output of client and project teams to deliver high-quality work across several concurrent, often complex, workstreams.
</li></ul>Practice Development &amp; Innovation
<ul><li>Evangelize and evolve MAP's experience strategy service lines and methodologies, keeping the practice ahead of client needs, not just level with them.
</li></ul><ul><li>Educate clients, strategists at every level, and colleagues across capabilities on experience strategy propositions and ways of working.
</li></ul><ul><li>Evaluate and refine existing service lines and frameworks so they scale consistently across clients, industries, and portfolios.
</li></ul><ul><li>Develop the strategists working alongside you, sharing your expertise and helping shape the next generation of experience strategy talent.
</li></ul>Business Development
<ul><li>Lead or act as primary strategy advisor on major new business pursuits, converting opportunities into profitable, long-term engagements.
</li></ul><h2 class="jobSectionHeader">Who are you going to work with?</h2>
<ul><li>You'll report to the Global Head of Experience Strategy, based in Copenhagen.
</li></ul><ul><li>This is a highly client-facing role: you'll work closely with client teams across our global network of agencies and offices.
</li></ul><ul><li>You'll collaborate daily with the wider MAP capabilities, including technology, data, design, business consulting, and client services.
</li></ul><h2 class="jobSectionHeader">What do you bring to the table?</h2>
<ul><li>A proven track record leading complex CX, CRM, personalization, or loyalty engagements, in an agency, consultancy, or in-house.
</li></ul><ul><li>Deep fluency in the platforms and data models behind connected customer experience, such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, or similar, and the judgment to know where they add value and where they don't.
</li></ul><ul><li>Strong commercial acumen: comfortable owning the profitability, utilization, and health of a client portfolio.
</li></ul><ul><li>A natural teacher, able to bring strategists and clients along on complex thinking, not just present it to them.
</li></ul><ul><li>Excellent stakeholder management across global, matrixed environments.
</li></ul><ul><li>A global perspective and flair for cross-cultural collaboration, particularly between the US and Europe.
</li></ul><h2 class="jobSectionHeader">A leader in personalized customer experiences</h2>
WPP Enterprise Solutions MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation, and CRM. With the brain of a consultancy, the heart of an agency, and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1,000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
<div>WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
When you click &ldquo;Apply now&rdquo; below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.</div></div></div><div></div>

Experience Strategy Director

Appvia

<div>Principal Cloud Network Architect - Active UK Government Security Clearance Required
Location: UK - Hybrid / customer-site requirements TBC
Contract: Permanent, Full-time
Package: &pound;85,000 - &pound;95,000 + 10% Bonus + 10% Shares + Benefits
About Appvia
Appvia is a specialist cloud, platform, and solutions engineering consultancy, helping organisations modernise infrastructure, improve reliability, and adopt cloud-native practices that enable long-term, sustainable delivery.
Our engineering capability spans AWS, Azure, platform engineering, networking, software, data, AI, delivery, and managed services.
We work across complex, high-impact environments in both the public and private sector, delivering solutions where security, resilience, scalability, and operational excellence are critical.
About the Role
We&rsquo;re hiring a Principal Cloud Networking Architect to join Appvia on a new secure public sector engagement, providing technical leadership across complex cloud, hybrid, and enterprise networking environments.
This is an architecture-led role for someone who can own technical direction, translate complex requirements into practical network solutions, and provide assurance across design and delivery.
You&rsquo;ll work across AWS cloud networking, hybrid connectivity, secure landing zones, network architecture, and technical governance, acting as a trusted technical authority for Appvia and our customer.
While the initial engagement has a strong networking and live-service focus, you&rsquo;ll also sit within Appvia&rsquo;s wider cloud and platform engineering capability, with opportunities to influence architecture and engineering standards across future programmes.
Interview Process - 3 Stage<ul><li>
Discovery conversation with Talent Acquisition</li><li>
Technical &amp; Architecture Interview with Engineering Team</li><li>
Final Interview with Leadership</li></ul>
Important
You must hold active UK Security Clearance (SC).
NPPV3 clearance is highly desirable. 
Requirements 
 
About You
You are a senior cloud and network architect with the technical depth to operate across both enterprise networking and modern cloud environments.
You will bring:<ul><li>
Strong experience owning cloud and network architecture across complex enterprise environments</li><li>
Deep AWS networking knowledge across secure, scalable, and highly available architectures</li><li>
Experience designing hybrid cloud connectivity and multi-account network environments</li><li>
Strong understanding of enterprise routing, network segmentation, security, and resilience</li><li>
Experience designing cloud landing zones and their associated networking architecture</li><li>
Strong understanding of network and cloud security principles</li><li>
Experience producing and reviewing architecture documentation and technical designs</li><li>
Confidence operating within Technical Design Authority or architectural governance processes</li><li>
Ability to evaluate designs against security, operational, and regulatory requirements</li><li>
Strong stakeholder management and the ability to communicate complex technical decisions clearly</li><li>
Experience working in regulated, enterprise, or public sector environments</li><li>
Active UK SC clearance</li></ul>
Responsibilities<ul><li>
Own cloud and network architecture across complex customer environments</li><li>
Define technical direction for secure, scalable, and resilient networking solutions</li><li>
Design AWS network architectures across multiple accounts, workloads, and environments</li><li>
Shape hybrid connectivity between cloud and on-premises infrastructure</li><li>
Define networking patterns for cloud landing zones and platform environments</li><li>
Provide architectural leadership across routing, connectivity, segmentation, security, and resilience</li><li>
Produce and review high-level and detailed technical designs</li><li>
Provide technical assurance and governance across network and cloud changes</li><li>
Assess architectural decisions against security, operational, and regulatory requirements</li><li>
Identify technical risks, dependencies, and opportunities for improvement</li><li>
Work closely with network engineers, platform engineers, security teams, service management, and customer architects</li><li>
Act as a trusted technical advisor to senior customer stakeholders</li><li>
Support and mentor engineers while raising architecture and engineering standards</li></ul>
Technical Skills
Core technologies / experience:<ul><li>
AWS cloud networking</li><li>
VPC architecture</li><li>
Transit Gateway</li><li>
Direct Connect</li><li>
Route 53</li><li>
Hybrid cloud connectivity</li><li>
Multi-account AWS networking</li><li>
Enterprise routing and network architecture</li><li>
Network segmentation and security</li><li>
Secure cloud landing zones</li><li>
High availability and disaster recovery</li><li>
Architecture governance and assurance</li><li>
Technical Design Authority experience</li></ul>
Nice to have:<ul><li>
AWS Certified Advanced Networking - Specialty</li><li>
AWS Solutions Architect - Professional</li><li>
Wider AWS professional or specialty certifications</li><li>
Multi-cloud networking experience</li><li>
Cloud security architecture</li><li>
Enterprise and application integration architecture</li><li>
Infrastructure-as-code and network automation exposure</li><li>
CCNP / CCIE or equivalent networking certifications</li><li>
NPPV3 clearance</li></ul> 

Benefits 
Why join Appvia?
We are a self-funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud.
We are on a mission to enable organisations to make cloud-based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry.
With us our customers, like the UK&rsquo;s Home Office &amp; Bank of England, are harnessing cloud-native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products.
What&rsquo;s on offer?<ul><li>️ Work-life balance</li></ul><ul>
<li>Flexible working with core hours of 10-4pm because we know life happens outside of work</li>
<li>Hybrid working - only one compulsory office day per month
</li><li>25 days&rsquo; holiday a year, plus bank holidays</li>
<li>An additional day off for your birthday</li>
<li>Enhanced maternity and paternity to full pay</li>
<li>Workplace Nursery Benefit to help working parents
 </li></ul>For your well-being<ul>
<li>Full Private Healthcare cover for you with partners and children covered 50%</li>
<li>Death in Service</li>
<li>Cycle to Work scheme
</li><li>Electric Car Scheme</li>
<li>Pension plus a salary sacrifice option for even greater savings</li>
<li>Employee Assistance Programme</li>
<li>Free hygiene products available in the London office</li>
 </ul>Mental health support<ul>
<li>Free therapy through AXA</li>
<li>Access to the Headspace App</li>
<li>Trained Mental Health First Aiders</li>
</ul>Other fun perks<ul>
<li>Learning budget of &pound;1,000 a year</li>
<li>Your own MacBook Pro while you work at Appvia</li>
<li>Dog friendly office</li>
<li>Wear what makes you comfortable</li>
<li>Free snacks in the office</li>
<li>Regular team socials, board game nights, industry meetups and more!</li>
<li>Pool table &amp; ping pong table</li>
</ul>But don&rsquo;t just take our word for it, you can check out what our Appvians say about us on Glassdoor and by following us on LinkedIn, Twitter and TikTok.
We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status.
Note: While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.</div>

Principal Cloud Network Architect - Active UK Government Security Clearance

NewRocket

<div>Agentic AI Architect-Anthropic Partnership

Why Us

NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI&mdash;designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows.

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

Travel to clients and conferences as needed.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.

This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.

The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.

You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions.

We are #GoingBeyond. Come join our Crew!

What You Will Be Doing

AI/ML Architecture &amp; Solution Delivery
<ul>
<li>Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.</li>
<li>Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.</li>
<li>Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.</li>
<li>Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.</li>
<li>Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.</li>
<li>Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.</li>
</ul>
Generative AI, Anthropic &amp; LLM Engineering
<ul>
<li>Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.</li>
<li>Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management.</li>
<li>Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.</li>
<li>Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows.</li>
<li>Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.</li>
<li>Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case.</li>
<li>Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.</li>
<li>Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket's partnership.</li>
<li>Travel to clients and conferences as needed.</li>
</ul>
Agentic AI &amp; Workflow Orchestration
<ul>
<li>Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications.</li>
<li>Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.</li>
<li>Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.</li>
<li>Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.</li>
<li>Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior.</li>
<li>Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.</li>
</ul>
Machine Learning, NLP &amp; Data Science
<ul>
<li>Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases.</li>
<li>Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence.</li>
<li>Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available.</li>
<li>Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support.</li>
<li>Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring.</li>
</ul>
Cloud, Data Engineering &amp; Platform Integration
<ul>
<li>Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI).</li>
<li>Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms.</li>
<li>Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions.</li>
<li>Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines.</li>
<li>Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability.</li>
<li>Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing.</li>
<li>Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls.</li>
</ul>
AI Quality, Governance &amp; Responsible AI
<ul>
<li>Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions.</li>
<li>Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience.</li>
<li>Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications.</li>
<li>Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage.</li>
<li>Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review.</li>
<li>Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements.</li>
</ul>
ServiceNow, Automation &amp; Enterprise Experience
<ul>
<li>Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems.</li>
<li>Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases.</li>
<li>Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable.</li>
<li>Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate.</li>
<li>Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket's AI Foundry capabilities.</li>
</ul>
Analytics &amp; Visualization
<ul>
<li>Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI.</li>
<li>Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality.</li>
<li>Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions.</li>
</ul>
What You Bring Along
<ul>
<li>10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.</li>
<li>Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.</li>
<li>Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.</li>
<li>Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.</li>
<li>Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.</li>
<li>Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.</li>
<li>NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.</li>
<li>Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.</li>
<li>Experience with data visualization tools such as Tableau and Power BI.</li>
<li>Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.</li>
<li>Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.</li>
<li>Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.</li>
<li>Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.</li>
</ul>
Preferred Qualifications

Anthropic &amp; Claude Experience
<ul>
<li>Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.</li>
<li>Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.</li>
<li>Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.</li>
<li>Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.</li>
</ul>
Agentic AI &amp; LLM Operations
<ul>
<li>Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.</li>
<li>Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.</li>
<li>Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.</li>
<li>Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.</li>
<li>Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.</li>
</ul>
Education
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered.</li>
<li>Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.</li></ul> 


We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.</div>

Agentic AI Architect-Anthropic-UK

<div>Aug 25, 2026
<div><div><h4 class="jobSectionHeader">Who We Are</h4>
MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients&rsquo; businesses.
About WPP
MAP is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.
</div>Step into the pinnacle of client leadership at MAP as our next Client Partner. This is an executive-level role for a visionary leader who commands confidence, inspires teams, and serves as a true benchmark of excellence across the business.
As a Client Partner, your strategic prowess, commercial sharpness, and executive gravitas will define the future of our most critical global client relationships. You will own the long-term strategic vision for large enterprise accounts, directly influencing C-suite stakeholders and aligning their business ambitions with MAP&rsquo;s market-leading capabilities. We are looking for an established leader - someone who brings quiet authority, deep accountability, and an inspirational presence that both our global clients and our internal teams can look up to. If you are a transformative leader with a proven track record of orchestrating enterprise-level growth and developing top-tier talent, this is your opportunity to redefine customer experience at the highest level.
<h2 class="jobSectionHeader">What will your day look like?</h2>
In this role, no two days are the same, but your impact will always be felt at the highest strategic and commercial levels across global accounts. Your day-to-day responsibilities include:
<ul><li>Executive Client Leadership: Serve as the ultimate partner and trusted strategic advisor to C-suite client executives, driving long-term alignment and expanding the scope and impact of MAP&rsquo;s global engagements.
</li></ul><ul><li>Visionary Strategic Direction: Influence our clients&rsquo; multi-year roadmaps and business transformations, positioning MAP&rsquo;s capabilities in CRM, data strategy, and CX to solve their most complex enterprise challenges.
</li></ul><ul><li>Inspirational Team Leadership &amp; Mentorship: Lead, empower, and mentor large cross-functional teams. You will set the tone for excellence, acting as a role model who builds confidence, fosters strategic thinking, and nurtures the next generation of leadership within MAP.
</li></ul><ul><li>Commercial Stewardship &amp; P&amp;L Ownership: Take full accountability for the financial health and profitability of your client portfolio, driving sustainable revenue growth, strategic ROI, and commercial rigor.
</li></ul><ul><li>Strategic Execution &amp; Innovation: Translate high-level client business objectives into actionable, revenue-generating programs, consistently championing innovation and MAP&rsquo;s advanced capabilities.
</li></ul><ul><li>Global Network Orchestration: Act as the key executive liaison within the broader WPP and VML networks, expertly leveraging global talent, resources, and cross-agency capabilities to deliver seamless, end-to-end solutions.
</li></ul><h2 class="jobSectionHeader">Who are you going to work with?</h2>
As a Client Partner, you are the strategic anchor connecting senior client executives with an elite, global network of multidisciplinary experts.
Internally and across the wider WPP network, you will lead and collaborate with Client Service Directors, Delivery Partners, Solution Architects, Data Scientists, Creative Directors, and Technology Leads. You will set the vision and benchmark for these teams, bringing out their best work through empathetic, confident, and decisive leadership. Externally, you will engage directly with client Board members, CMOs, CDOs, and enterprise leaders, establishing high-trust relationships that elevate MAP from a supplier to an indispensable business partner.
<h2 class="jobSectionHeader">What do you bring to the table?</h2>
You are a seasoned executive who combines natural confidence, strategic intelligence, and deep commercial acumen. You possess the gravitas to command any room, the composure to navigate complex global matrix organizations, and the leadership quality that makes people want to follow your direction.
Specifically, you bring:
<ul><li>15+ years of progressive executive experience leading large client accounts within a top-tier digital transformation consultancy, global agency network, or technology services firm.
</li></ul><ul><li>Proven track record of enterprise leadership managing and significantly scaling multi-million-dollar global client portfolios with direct C-suite accountability.
</li></ul><ul><li>Inspirational leadership skills with demonstrated success in managing, mentoring, and inspiring large, multidisciplinary teams and senior client-facing leaders.
</li></ul><ul><li>Deep commercial and domain expertise across data strategy, customer experience (CX), CRM, and enterprise tech platforms (e.g., Salesforce Marketing Cloud, Adobe Experience Cloud).
</li></ul><ul><li>Exceptional executive presence and communication skills in English, with the confidence to influence board-level decision-making and articulate complex strategies with clarity.
</li></ul><ul><li>Global network fluency, with experience operating seamlessly across international networks (such as WPP) to orchestrate complex, multi-region solutions.
</li></ul><ul><li>Hands-on experience with AI technologies and intelligent agents - both in streamlining internal ways of working and in shaping innovative deliverables that drive value for clients.
</li></ul><ul><li>Uncompromising accountability, self-discipline, and vision to define multi-year growth roadmaps, manage substantial budgets, and drive transformational business outcomes.
</li></ul><h2 class="jobSectionHeader">A leader in personalized customer experiences</h2>
VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
<h2 class="jobSectionHeader">A global network</h2>
We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
#LI-EMEA
<div>WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
When you click &ldquo;Apply now&rdquo; below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.</div></div></div><div></div>

Client Partner

FalconSmartIT

<div>Job Title : Enterprise Architect - Banking Transformation, Cloud &amp; AI
Job Location :London, UK (4 days per week from office)
Job Type: FTE 
 
Job Description : 
 
About the Role
We are undertaking a significant transformation of the Bank and are reimagining how we build a genuinely modern, intelligent banking platform for the future. This transformation spans Payments, FX, Data, Cloud, and AI, and will redefine both our technology landscape and future operating model.
This is a high-impact leadership role for an experienced Enterprise Architect who has successfully led large-scale banking transformations and can bridge the gap between strategic vision and practical execution. We're not seeking someone who governs architecture from the sidelines. We need a hands-on architectural leader who can shape the future direction of the Bank, challenge traditional thinking, and work closely with engineering and transformation teams to deliver tangible outcomes.
A key aspect of this role is helping to define how emerging technologies, including AI, agentic architectures, intelligent orchestration, and automation, can be leveraged to create the next generation of banking capabilities.
Key Responsibilities
Enterprise Architecture Leadership
<ul><li>Define and own the Bank's end-to-end enterprise architecture strategy and roadmap.</li>
<li>Establish architectural principles, standards, and target-state technology architectures across business and technology domains.</li>
<li>Align technology investments with strategic business objectives and regulatory requirements.</li>
<li>Proven experience leading enterprise architecture functions within banking or financial services.</li>
<li>Demonstrated success delivering large-scale technology transformation programmes.</li>
<li>Deep domain expertise in one or more of:</li>
<li>Banking platforms</li>
<li>Payments</li>
<li>FX and Treasury systems</li>
<li>High-volume transaction processing environments</li>
<li>Strong understanding of both legacy and modern technology estates.</li>
<li>Significant experience designing and implementing:</li>
<li>Event-driven architectures</li>
<li>Distributed systems</li>
<li>Cloud-native solutions</li>
<li>API ecosystems</li>
<li>Experience working within highly regulated environments.</li>
<li>Track record of influencing and partnering with executive-level stakeholders.</li>
</ul>Desired Experience
<ul><li>Experience with multi-cloud environments (Azure, AWS, GCP).</li>
<li>Knowledge of AI, Generative AI, Agentic AI frameworks, and intelligent automation.</li>
<li>Experience defining target operating models and business capability architectures.</li>
<li>Familiarity with data mesh, real-time analytics, and enterprise data platforms.</li>
<li>Understanding of modern banking ecosystem trends, open banking, and embedded finance.</li>
</ul>Skills &amp; Competencies
<ul><li>Strategic thinking with strong execution focus.</li>
<li>Exceptional stakeholder management and influencing skills.</li>
<li>Strong leadership presence and communication abilities.</li>
<li>Commercial and business acumen.</li>
<li>Ability to navigate ambiguity and drive organizational change.</li>
<li>Deep understanding of technology risk, security, and regulatory considerations.</li>
<li>Passion for innovation and the future of AI-enabled banking</li></ul></div>

Enterprise Architect - Banking Transformation, Cloud & AI

Explore 160+ Enterprise architect salesforce marketing cloud in London this September. Find roles across top companies and apply now to boost your career.