technical architect

LSEG (London Stock Exchange Group)

<div>Lead News Architect &mdash; News Engineering @ LSEG
Help us shape the future of real‑time news data and join a team powering the heartbeat of global information. LSEG&rsquo;s News Engineering group is looking for a Lead News Data Architect to define and evolve the data architecture that powers our real‑time News platform, delivering richly structured and searchable news to customers worldwide in sub‑second time.
This role is ideal for hands‑on architects who want to be individual contributors and technical leaders. You&rsquo;ll work at the intersection of data modeling, metadata standards, and search technologies, with the opportunity to influence platform‑wide decisions and long‑term strategy.
As a news architect in the News team at LSEG, you will lead end‑to‑end data architecture decisions for real‑time news ingestion, enrichment, storage, indexing, and distribution. Develop data standards, schemas, and contracts for news content, metadata, and derived signals to ensure consistency and quality across the platform. Partner closely with engineering teams improving signal discoverability through normalizing metadata and implementing industry standards. Ensure data architectures support observability and lineage while providing customers with a simple, straight-forward experience for working with News from LSEG. We encourage pragmatic experimentation with new tools, libraries, and approaches when they improve reliability, performance, or developer experience.
What We&rsquo;re Looking For<ul><li>
Strong experience as a Data Architect or Technical Architect working with large‑scale, real‑time data systems.</li><li>
Deep expertise in data modeling and contract definition.</li><li>
Experience designing architectures for low‑latency, high‑throughput systems.</li><li>
Experience with streaming and event‑driven architectures.</li><li>
Familiarity with cloud‑native data platforms and distributed systems.</li><li>
Ability to work independently, lead through influence, and communicate ideas clearly.</li></ul>
Bonus Points<ul><li>
Knowledge of news data standards such as NewsML‑G2 or similar structured content formats.</li><li>
Experience defining or implementing canonical data models.</li><li>
Familiarity with data governance, lineage, or data quality frameworks.</li><li>
Understanding search technologies (e.g., Elasticsearch or similar) and how data modeling impacts query performance.</li><li>
Experience working closely with senior product and engineering leaders.</li></ul>
Why Join Us?<ul><li>
Impact: Your work defines how critical news data is structured, discovered, and delivered to customers.</li><li>
Growth: Expand your influence across data architecture, platform strategy, and real‑time analytics.</li><li>
Culture: We value clarity over complexity, ownership over hand‑offs, and pragmatic architecture that delivers real results.</li><li>
Flexibility: Hybrid work options and a balanced work-life environment.</li></ul>
Career Stage:
Manager
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div>

Lead News Architect

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Principal Agentic Platforms Architect
Overview
 
 
The AI Center of Excellence is seeking a Senior Principal Agentic Platforms Architect to lead the technical vision, architecture, and hands-on development of Mastercard's enterprise agentic AI platforms. This role demands deep, demonstrated expertise in building and shipping production-grade AI and agentic systems at enterprise scale, combined with the architectural rigor required to operate within one of the most highly regulated and security-conscious environments in the world. Reporting to senior leadership, you will own the E2E platform architecture for agentic AI systems, from runtime orchestration and governance infrastructure through to production deployment and operational lifecycle management. This is not a strategy-only role. You will write code, review code, and hold the team to the highest standards of engineering excellence. The right candidate has spent their career building AI systems that run in production, not prototypes, not proofs of concept, but systems that operate at scale, under load, and under scrutiny 
 
Role
 
 
<ul><li>Serve as the principal technical authority for agentic AI platform architecture, owning the design and evolution of runtime environments, governance layers, orchestration engines, and multi-tenancy infrastructure that support enterprise-grade AI agent deployment</li></ul> 
<ul><li>Lead hands-on architecture and development of agentic systems, including agent orchestration frameworks, tool and model integration layers, policy enforcement engines, guardrail systems, behavioral monitoring pipelines, and evaluation infrastructure</li></ul> 
<ul><li>Design and implement scalable, resilient platform architectures that support multi-agent coordination, A2A communication protocols, memory governance, and real-time observability across distributed deployments</li></ul> 
<ul><li>Drive the technical strategy for model integration and abstraction, enabling model-agnostic agent execution across multiple providers while enforcing cost optimization, routing intelligence, and governance controls at the platform level</li></ul> 
<ul><li>Architect and build API-first platform interfaces that enable both internal teams and external consumers to build, deploy, govern, and operate AI agents through programmatic, language-agnostic access patterns</li></ul> 
<ul><li>Define and enforce engineering standards, code quality practices, and architectural governance across the platform engineering team, ensuring every component meets production-grade requirements for security, resilience, performance, and compliance</li></ul> 
<ul><li>Provide deep technical leadership on agentic AI design patterns, including retrieval-augmented generation, tool calling via Model Context Protocol, multi-step orchestration, human-in-loop workflows, and autonomous decision-making architectures</li></ul> 
<ul><li>Act as a trusted technical advisor to senior leadership, translating complex platform architecture decisions into clear, business-oriented language that supports informed decision-making at the executive level</li></ul> 
<ul><li>Mentor and develop a high-performing engineering team, fostering a culture of technical excellence, intellectual honesty, rigorous code review, and continuous improvement</li></ul> 
<ul><li>Produce and maintain authoritative architectural documentation, including system design documents, architecture decision records, and integration specifications that meet Mastercard's engineering principles and security standards</li></ul> 
All About You
 
 
<ul><li>15+ years of hands-on experience in software engineering and AI engineering, with a significant and demonstrable portion spent designing, building, and shipping AI and machine learning systems to production at enterprise scale</li></ul> 
<ul><li>Proven track record of architecting and delivering agentic AI systems, autonomous agents, multi-agent orchestration platforms, or AI-powered automation systems that operate in production with real users, real data, and real consequences</li></ul> 
<ul><li>Deep hands-on coding proficiency. You write production code, you review production code, and you hold others to the same standard. This is a building role, not a diagram-drawing role</li></ul> 
<ul><li>Advanced expertise in Python and modern AI/ML frameworks, with hands-on experience across agentic toolkits such as LangChain, LangGraph, CrewAI, or equivalent orchestration frameworks</li></ul> 
<ul><li>Strong architectural experience with cloud-native platforms including AWS, Databricks, and Kubernetes, with demonstrated ability to design for high availability, fault tolerance, and horizontal scalability</li></ul> 
<ul><li>Deep understanding of AI governance, trust, and safety architectures, including guardrail systems, policy engines, behavioral analytics, evaluation frameworks, red teaming methodologies, and compliance mapping</li></ul> 
<ul><li>Experience designing and building multi-tenant platforms with fine-grained access control, workspace isolation, and enterprise-grade identity and authorization systems</li></ul> 
<ul><li>Proven ability to design API-first architectures, RESTful interfaces, and SDK abstractions that serve both internal platform teams and external consumers</li></ul> 
<ul><li>Strong understanding of data architectures including Delta Lake, data lakehouse patterns, vector databases and retrieval-augmented generation pipelines</li></ul> 
<ul><li>Demonstrated experience with tool calling architectures and model-agnostic integration patterns across multiple LLM providers</li></ul> 
<ul><li>Exceptional communicator who can articulate deeply technical architecture decisions to engineering teams and translate complex platform concepts into business language for non-technical stakeholders</li></ul> 
<ul><li>Known for building trust, holding high standards, and mentoring engineers. You make the people around you better. Motivated by hard problems, not titles. You bring intellectual curiosity, resilience, and relentless energy to complex technical challenges</li></ul> 
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred but not required if the experience speaks for itself</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Senior Principal Agentic Platforms Architect

Databricks

<div>As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS Databricks alliance across the region &mdash; today a $220M trailing-year consumption book growing at +69.7% YoY, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the &quot;better-together&quot; technical narrative for Databricks on AWS.
You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS &mdash; through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts.
Reporting to: Director, Field Engineering (Partner Solutions Architect).
<h2 class="jobSectionHeader">What the role owns:</h2>
<ul><li>AWS-sourced pipeline &amp; EMEA AWS consumption growth &mdash; act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of +60% YoY growth / $297.86M target.</li>
<li>The EMEA AWS SME community &mdash; convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15&ndash;20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery.</li>
<li>Partner enablement at scale &mdash; sustain the training engine that feeds pipeline 2&ndash;3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training Databricks L&amp;E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook.</li>
<li>Joint product contribution &amp; reference architectures &mdash; own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch (&quot;Moonwalk+&quot;), Agent Bricks Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard.</li>
<li>Strategic-account unblock &amp; multicloud arbitration &mdash; lead technical arbitration in EMEA's dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR.</li>
<li>Executive alignment &amp; external brand &mdash; run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA.</li>
</ul><h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts.</li>
<li>Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks' hyperscaler revenue mix.</li>
<li>Grow field-wide AWS capability &mdash; through the SME community, certification programmes, and reusable architectures &mdash; so AWS depth is distributed across the EMEA field rather than concentrated in one person.</li>
<li>Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>Extensive hands-on experience as a data professional in a modern, cloud-based data stack.</li>
<li>Hyperscaler-alliance experience (AWS strongly preferred) with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community.</li>
<li>AWS-specific technical depth &mdash; PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation.</li>
<li>At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.</li>
<li>Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services.</li>
<li>Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks).</li>
<li>Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation).</li>
<li>Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms.</li>
<li>Managing multiple, frequently changing priorities across multiple teams.</li>
</ul>The role requires up to 40% travel across EMEA &mdash; to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent).
<div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

AWS Cloud Partner Solutions Architect — EMEA

<div><div><div>Entity:
Technology 
Job Family Group:
IT&amp;S Group 
Job Description:
The Principal Platform Engineer is a senior individual contributor role responsible for defining the strategy and architecture for how bp's portfolio of engineering and data platforms connect, converge, and serve the organisation. This role sits at the intersection of platform engineering and enterprise architecture, providing technical leadership and strategic direction without direct line management.
The role exists to bring coherence to a distributed platform landscape, ensuring that internal engineering platforms, cloud-native infrastructure, and enterprise software-as-a-service (SaaS) solutions are integrated in a consistent, scalable, and well-governed manner. The Principal Platform Engineer is the technical authority on platform integration and convergence, influencing design decisions across teams and functions.
Key Accountabilities<ul><li>
Define and maintain a platform convergence strategy that articulates the current-state landscape, the target architecture, and a credible transition path &mdash; enabling bp's engineering platforms and SaaS solutions to operate as an integrated whole.</li><li>
Lead architectural design and decision-making at the intersection of internal platforms and enterprise SaaS, establishing integration patterns, data contracts, and governance standards that apply consistently across the platform estate.</li><li>
Act as the principal technical authority for platform engineering across the digital delivery organisation, providing expert guidance on platform design, cloud-native patterns, and systems integration to engineering teams and senior stakeholders.</li><li>
Drive resolution of complex cross-platform integration challenges, including identity, data flow, event-driven architecture, and API design &mdash; ensuring that integration decisions are durable, secure, and aligned with enterprise standards.</li><li>
Produce and maintain high-quality architecture strategy documents, reference architectures, and decision records that are accessible to both engineering and executive audiences, building shared understanding of the platform direction.</li><li>
Collaborate with AI engineering, software engineering, and external vendor and partner teams to ensure that platform architecture decisions enable and do not constrain the delivery of business and AI-powered capabilities.</li></ul>
This is a role with organisation-wide technical influence. The successful candidate will work closely with engineering managers, delivery teams, and external partners across a complex, multi-platform environment. The role requires a balance of critical thinking and hands-on technical credibility &mdash; candidates should be comfortable both authoring architecture strategy documents and engaging deeply in technical design discussions.<h1 class="jobSectionHeader">
What you will bring...</h1><ul><li>
Extensive experience in platform engineering (including Kubernetes) and the design, delivery, and operation of large-scale, multi-component platform estates in a cloud-native environment.</li><li>
Proven enterprise architecture capability, including experience producing target-state architecture strategies and navigating complex system landscapes spanning internal platforms and third-party SaaS.</li><li>
Deep knowledge of cloud-native architecture patterns: containerisation and orchestration, service mesh, API gateway design, event streaming, and infrastructure-as-code.</li><li>
Demonstrable experience integrating enterprise SaaS solutions &mdash; including ERP or business application platforms &mdash; with internally developed systems, covering API, identity, and data integration patterns.</li><li>
Track record of operating as a senior technical authority in a large organisation, influencing architecture and engineering decisions at scale without direct management responsibility.</li><li>
Strong communication and documentation skills, with the ability to convey complex architectural concepts clearly to technical peers, delivery teams, and senior business stakeholders.</li><li>
Bachelor's degree or higher in Computer Science, Software Engineering, Systems Engineering, or a related technical subject area or equivalent experience.</li><li>
Familiarity with regulatory and compliance considerations (e.g., data residency, audit logging, access control) as they apply to enterprise platform design.</li></ul>
Desirable Criteria<ul><li>
Familiarity with enterprise data platform architectures, including data mesh, data fabric, or data lakehouse patterns, and how these intersect with application and integration platforms.</li><li>
Prior experience working at the boundary of AI/ML infrastructure and broader platform engineering, including understanding of how MLOps capabilities are hosted and operated within an enterprise platform.</li><li>
Experience engaging with external software vendors and system integrators on integration architecture and platform alignment.</li><li>
Relevant professional certifications in cloud architecture or enterprise architecture (e.g., AWS Solutions Architect Professional, Azure Solutions Architect) are advantageous.</li></ul><h1 class="jobSectionHeader">
Why join us?</h1>
We&rsquo;re committed to supporting leaders who want to make an impact. At bp, you&rsquo;ll have the chance to shape and influence outcomes across businesses. You&rsquo;ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive.
Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs &mdash; from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that.
Apply now!
Location
Please note that while this position can be based in our Sunbury office, this will move to Southwark, London by end 2027. 
Travel Requirement
Negligible travel should be expected with this role 
Relocation Assistance:
This role is not eligible for relocation 
Remote Type:
This position is a hybrid of office/remote working 
Skills:
Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} 
Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. 
 
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
<div>Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
</div><div>Expand job description</div></div>
 <div><div>Disclaimer 


This is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers&rsquo; discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility.</div></div>

Principal Platform Engineer

New Look

We’re the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK.
 
By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other.
 
THE ROLE: 
As Domain Architect for Integration at New Look, you will be responsible for shaping and leading the architecture direction for enterprise integration across the technology estate.
 
You will define and maintain the integration strategy, target architecture, standards, patterns and roadmap for how systems, services, platforms and suppliers connect across the organisation.
 
You will work across business portfolios, product teams, engineering, security, infrastructure, data, suppliers and delivery partners to ensure that integration decisions are secure, resilient, scalable, maintainable and aligned to enterprise architecture strategy.
 
You will provide specialist architecture leadership to Solution Architects and engineering teams, ensuring that integration designs are coherent, reusable and appropriate to business and operational needs
 
WHAT YOU’LL BE DOING: 
Integration Architecture
 <ul>
<li>Integration Strategy: Define, implement and maintain the enterprise integration architecture strategy, target state and roadmap. Ensure that integration decisions align with New Look’s business strategy, technology strategy and enterprise architecture principles.</li>
<li>Integration Standards: Define and maintain standards, principles, patterns and guardrails for APIs, events, messaging, batch, file exchange, orchestration and service interaction. Ensure standards are practical, reusable and understood by architects and delivery teams.</li>
<li>Architecture Coherence: Ensure integration designs are coherent across applications, platforms, data, security, infrastructure, operations and supplier solutions. Challenge point-to-point, duplicated or short-term integration approaches where they increase risk or complexity.</li>
<li>Technology Simplification: Identify integration technology debt, platform risks and capability gaps. Define pragmatic remediation and modernisation approaches that support business agility, resilience, cost control and long-term maintainability.</li>
</ul>
Platform and Technology Direction
 <ul>
<li>Platform Architecture: Provide architecture leadership for enterprise integration platforms, API management, messaging and eventing capabilities. Ensure platforms are scalable, secure, resilient, observable and fit for current and future needs.</li>
<li>Roadmap Planning: Support platform roadmap planning, lifecycle management and investment decisions for integration capabilities. Ensure roadmap choices are informed by business priorities, platform health, technology debt, supplier risk and operational impact.</li>
</ul>
Architecture Guidance and Assurance
 <ul>
<li>Collaborate with Stakeholders: Work closely with Group Architects, Solution Architects, engineering teams, business stakeholders and external vendors to understand integration needs and translate them into appropriate architecture guidance. Engage with senior technology and delivery stakeholders to ensure integration decisions meet business and IT requirements at a strategic level.</li>
<li>Solution Support: Advise projects, products and programmes on integration options, service boundaries, non-functional requirements, dependencies and risks. Support solution options, high-level designs, architecture decision records and key design decisions where integration complexity or reuse potential is significant.</li>
<li>Architecture Governance: Provide integration architecture authority into architecture review and Design Authority activity. Ensure material integration decisions are evidence-based, traceable and aligned to enterprise standards.</li>
</ul>
Leadership and Community
 <ul>
<li>Technical Leadership: Lead, manage or mentor Solution Architects and aligned technical architecture roles where required. Provide guidance to engineering and delivery teams on the appropriate use of integration standards and patterns.</li>
<li>Architecture Community: Contribute to the ongoing improvement of New Look’s architecture framework, integration artefacts, governance process and architecture community.</li>
<li>Knowledge Sharing: Promote integration best practice across architects, engineers, product teams and suppliers. Ensure learning from delivery is fed back into standards, patterns and roadmaps.</li>
<li>Responsible Use of AI Tools: Use approved AI tools to support research, pattern analysis, documentation, design review and architecture decision preparation. Ensure AI-generated outputs are validated before use in decisions, standards or stakeholder communication.</li>
<li>AI-Enabled Integration: Assess the integration implications of AI systems, including API exposure, data movement, orchestration, logging, monitoring, security, resilience and supportability. Ensure AI services are integrated through approved enterprise patterns and governance routes</li>
</ul>
WHO YOU ARE: 
<ul>
<li>Education: Bachelor’s degree in computer science, information technology, engineering or a related field, or equivalent experience. A master’s degree or relevant specialist certifications such as TOGAF, Azure, integration platform, cloud or architecture certifications are preferred.</li>
<li>Experience: At least 10-12 years of experience in architecture, integration design or technology delivery, with significant experience in enterprise integration architecture.</li>
<li>Integration Architecture: Strong experience designing scalable, secure and loosely coupled integration architectures across cloud, SaaS, on-premise and legacy systems.</li>
<li>API Design and Management: Strong understanding of API design, API security, versioning, lifecycle management, developer experience and API management platforms.</li>
<li>Event and Messaging Architecture: Strong understanding of event-driven architecture, queues, topics, streams, pub/sub patterns, schema ownership and message reliability.</li>
<li>Integration Patterns: Experience applying integration patterns across APIs, events, messaging, batch, file exchange and orchestration.</li>
<li>Enterprise Integration Platforms: Experience with integration platforms and services such as Azure Integration Services, Azure API Management, Service Bus, Event Grid, Event Hubs, Data Factory, Apigee, MuleSoft, Boomi, SAP CPI or equivalent.</li>
<li>Cloud Integration: Experience with cloud-native and hybrid integration patterns across Azure, SaaS platforms and enterprise systems.</li>
<li>Security and Resilience: Good understanding of identity, secrets, certificates, encryption, network controls, observability, monitoring, disaster recovery and business continuity requirements.</li>
<li>Architecture Principles: Demonstrable experience of technology standards, services, design, architecture principles, architecture views, modelling and systems behaviour.</li>
<li>Solution Modelling: Knowledge of different architecture and solution modelling approaches, such as C4, UML and ArchiMate.</li>
<li>AI Integration Awareness: Understanding of the integration implications of AI systems, including secure API exposure, data movement, orchestration, auditability, monitoring and supportability.</li>
<li>Product and Delivery Methods: Strong understanding of agile delivery, programme delivery, DevOps practices and architecture governance.</li>
<li>Analytical and Problem-Solving Skills: Ability to analyse complex integration problems, develop practical options and make evidence-based recommendations.</li>
<li>Communication and Collaboration: Excellent communication and interpersonal skills, with the ability to explain integration decisions to technical and non-technical audiences.</li>
<li>Organisational Savvy: Ability to navigate organisational complexity and influence decisions across teams with different priorities.</li>
<li>AI Literacy: Ability to use approved AI tools responsibly and assess the implications of AI-enabled systems within integration architectures.</li>
</ul>
WHATS IN IT FOR YOU: 
<ul>
<li>40% staff discount plus friends & family discounts throughout the year</li>
<li>Access to our reward platform for external discount and offers</li>
<li>Private pension scheme</li>
<li>Profit related bonus scheme</li>
<li>Option to join our Healthcare Private Medical Scheme</li>
<li>Virtual GP access for you and your children – it allows you to speak to a doctor at a time and date that suits you</li>
<li>All employees are covered by our life assurance policy from day one</li>
<li>Unlock extra leave with our buy more holiday scheme.</li>
<li>Celebrate YOU! Enjoy an extra paid day off on your birthday each year</li>
<li>Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service)</li>
<li>Spread the cost of your commute with interest-free season ticket loans</li>
<li>Do your bit for the environment and save money with our Cycle2Work scheme</li>
<li>We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust</li>
</ul>
Why New Look?
 
We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We’re proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values.
 
We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.
 
We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.
 
Please ensure that your CV is in simple format e.g. Microsoft Word when applying using your CV to ensure smooth application process

Domain Architect - Integration

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Join us to directly influence the future of technology at JPMorganChase. As a Senior DevSecOps Architect, you'll collaborate with top cybersecurity and engineering talent, solving complex challenges and enabling safe, secure innovation. Your passion for security and drive to make a real impact are valued here. Grow your skills in a dynamic environment designed for achievers. Help us build products that prioritize security from the start.
Job Summary:
As a Senior DevSecOps Architect in the Cybersecurity &amp; Technology Controls team for International Consumer, you will proactively partner with technology and business colleagues to identify and address security issues. You will embed security culture, lead threat modeling, and drive architecture reviews to ensure our products are secure by design. Your role will be pivotal in managing emerging risks, influencing product strategy, and serving as the subject matter expert for the DevSecOps strategy as well as embedding automated security controls into CI/CD pipelines. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing and emerging technologies.
Job Responsibilities:
<ul><li>Pipeline Security Architecture - Design, implement, and continuously improve security architecture for CI/CD pipelines and DevOps toolchains, ensuring automated security checks are embedded at every stage from code commit to production deployment.</li>
<li>Security-as-Code Leadership - Champion Infrastructure as Code (IaC) and Security-as-Code practices, including policy enforcement, security linting, and automated compliance validation across cloud environments.</li>
<li>Threat Modeling &amp; Architecture Reviews - Lead advanced threat modeling (e.g., STRIDE-LM) for pipelines, microservices, and cloud-native applications, and conduct architecture reviews to drive adoption of secure design patterns.</li>
<li>Automated Guardrails at Scale - Design and deploy automated preventive and detective guardrails to proactively reduce risk across CICD pipelines, cloud and SaaS environments.</li>
<li>Security Culture &amp; Enablement - Cultivate a security-first culture across product, technology, and business teams by providing developer-friendly tooling, training, and reusable secure patterns that accelerate rather than hinder delivery.</li>
<li>Risk &amp; Issue Management - Act with urgency to manage emerging security issues, monitor risk indicators, and recommend resolutions. Serve as the escalation point for IT Risk and Cyber domains related to DevSecOps and Change Management.</li>
<li>Stakeholder Partnership - Partner with engineering leads, product owners, and vendors to ensure effective technology risk management, translating regulatory and policy requirements into actionable, engineer-friendly controls.</li>
<li>Audit &amp; Regulatory Support - Support audit, regulatory, and risk activities by providing evidence of control effectiveness and translating compliance requirements into automated, repeatable processes.</li>
<li>Continuous Improvement - Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in DevSecOps maturity across the organization.</li>
</ul>Required Qualifications, Capabilities, and Skills:
<ul><li>Advanced threat modeling experience (e.g., STRIDE-LM) for DevOps/CICD Pipelines and toolchains.</li>
<li>Expert ability to advise and influence secure pipeline architecture using Policy-as-Code and automated gates.</li>
<li>Hands-on security expertise in AWS and GCP.</li>
<li>Practical experience creating reference architectures and patterns for engineering teams.</li>
<li>Proven ability to design and deploy automated preventive and detective guardrails at scale.
</li><li>Expertise in leveraging IaC scanning to detect misconfigurations and compliance violations across Terraform and Kubernetes manifests</li>
<li>Hands-on experience in integrating a comprehensive DevSecOps tooling stack, including SAST, SCA, RASP, IAST, container and image scanning, secrets detection, and AI-powered DAST solutions</li>
<li>Experience implementing and managing SBOMs to track internal, third-party risk and supply chain security.</li>
<li>Ability to solve design and functionality problems independently.</li>
<li>Strong written and verbal communication skills.</li>
<li>Demonstrated success in influencing peers and stakeholders.</li>
<li>Ability to evaluate and recommend emerging technologies for future state architecture.</li>
</ul>Preferred Qualifications, Capabilities, and Skills:
<ul><li>Shift-Left/Start-Left Evangelism - A proven track record of mentoring developers and fostering a culture where security is a shared responsibility</li>
<li>Relevant certifications: AWS Certified Security - Specialty, GCP Professional Cloud Security Engineer, CISSP, CKS, OSCP.</li>
<li>Experience operating in regulated organizations with a 3LoD model.</li>
<li>Willingness to challenge existing processes respectfully.</li>
<li>Experience translating policy and regulatory requirements into control design for engineers and architects.</li>
<li>Proven ability to upskill and learn modern technologies.</li>
<li>Experience in financial services consumer businesses or Fintech organizations.</li>
</ul>#ICBCareers
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Senior DevSecOps Architect

Accenture

<div>YOU ARE
As an experienced and senior AI/LLM Architect, you will play a pivotal in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems &mdash; spanning classical machine learning, generative AI, and agentic systems &mdash; ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards.
Within this scope, you will take deep ownership of one or more critical architecture domains &mdash; such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference &mdash; serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice. You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture &mdash; ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms.
A critical dimension of this is owning the design of a comprehensive AI context layer &mdash; drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content &mdash; to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery &mdash; including architecture decision records (ADRs), component and data flow diagrams, and integration specifications &mdash; and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence.
Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.
THE WORK<ul><li>
Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.</li><li>
Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.</li><li>
Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.</li><li>
Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.</li><li>
Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.</li><li>
Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.</li><li>
Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.</li><li>
Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.</li><li>
Design and implement the context layer&mdash;spanning knowledge graphs, vector search, and semantic retrieval&mdash;to create reliable, grounded RAG pipelines.</li><li>
Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.</li><li>
Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.</li><li>
Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.</li><li>
Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.</li><li>
Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.</li><li>
Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel</li><li>
Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.</li><li>
Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.</li><li>
Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).</li><li>
Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.</li><li>
Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience in designing &amp; deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.</li><li>
Experience in the Agentic, LLM and Generative AI space.</li><li>
Coding experience using Python</li><li>
Experience architecting and operationalizing LLM driven application architecture patterns.</li><li>
Expertise in coding engineering, machine learning, deep learning and NLP solutions and applications.</li><li>
Experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.</li></ul></div>

AI LLM Technology Architecture Manager

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