ai engineer

platform engineer

ai software engineer

analytics engineer

data architect

enterprise solutions architect

Simple Machines

<div>Solutions Architect
London, England, United Kingdom &middot; Hybrid &middot; Full-time
About Simple Machines
Simple Machines is a leading independent boutique technology firm with a global footprint across London, Poland, Sydney and New Zealand. We are a team of creative engineers and expert technologists working at the intersection of data, AI, data engineering and software engineering. We partner with enterprises, technology companies and governments to design and build bespoke data platforms, intelligent systems and high-impact software products that bring data to life.
We engineer data to life&trade;.
The Role
We&rsquo;re looking for an experienced Solutions Architect to join our London team. You&rsquo;ll design large-scale, data-intensive platforms and intelligent systems for ambitious enterprise clients, working on hard problems: real-time systems operating at significant scale, complex integration landscapes, and platforms where data and machine learning drive customer-facing outcomes.
This is a hands-on architecture role embedded in an established delivery team. You&rsquo;ll own solution designs end-to-end: shaping how new capabilities are architected, producing clear design documentation, and working with engineers, product managers, and client stakeholders to carry those designs through to production.
This is a client-facing role. You&rsquo;ll spend much of your time working inside the client&rsquo;s organisation, alongside their architects, governance functions, business owners, and third-party vendors as well as our own delivery team. That takes someone who can win trust quickly, build consensus across groups with competing priorities, and push back when it matters.
What You&rsquo;ll Be Doing<ul><li>
Design solutions across large-scale enterprise platforms: APIs, integrations, data flows, and the supporting cloud infrastructure</li><li>
Translate ambiguous business requirements into well-documented architectures that engineering teams can build from</li><li>
Present and defend designs with senior client stakeholders, including enterprise architects, programme leadership, and business owners</li><li>
Work within client governance processes such as architecture review boards, security reviews, and integration standards</li><li>
Collaborate day to day with engineers, data scientists, and product managers in an Agile delivery model</li><li>
Balance strategic direction with pragmatic delivery, judging when to invest in long-term design and when to ship</li><li>
Contribute to the wider architecture practice at Simple Machines through standards, reusable patterns, and ways of working
</li></ul>The Team
You&rsquo;ll join a high-performing, multi-disciplinary team delivering a large-scale machine learning platform for a global telecommunications client. The team operates with high autonomy and shared ownership, and works in a hybrid setup with both remote and in-person collaboration with client stakeholders. 
Requirements 
 
What We&rsquo;re Looking For
Core Experience<ul><li>
Significant experience as a Solutions Architect on large-scale enterprise platforms, with designs you have taken from concept through to production</li><li>
A consultancy background, or experience that closely resembles one: client-facing delivery, multiple engagements or programmes, and comfort operating inside someone else&rsquo;s organisation</li><li>
A proven track record of managing complex stakeholder landscapes, aligning technical and business audiences with competing priorities</li><li>
Strong grounding in distributed systems, API design, and integration architecture</li><li>
Strong grounding in data processing, data warehousing, sql, no sql, data pipelines</li><li>
Excellent written and verbal communication, including clear and well-structured design documentation</li><li>
Sound judgement on trade-offs across cost, risk, delivery speed, and long-term maintainability</li><li>
A software engineering background, able to discuss details and technicalities with the engineering team to bring solutions to life grounded in the capabilities and constraints of the projects.
</li></ul>Cloud &amp; Infrastructure<ul><li>
Experience architecting cloud-native platforms on a major public cloud</li><li>
Understanding of containerised and orchestrated deployments (Docker, Kubernetes, or equivalent) at an architectural level</li></ul>
Nice to Have<ul><li>
Experience with decisioning, next-best-action, or personalisation platforms, or the broader martech and commercial platform space</li><li>
Telecommunications experience, or experience in similarly large, regulated enterprise environments</li><li>
Familiarity with the JVM ecosystem and event-driven architectures</li><li>
Exposure to pricing, product catalogue, or commercial configuration systems</li><li>
Experience applying machine learning outputs within real-time customer-facing systems</li><li>
Experience with agentic solutions</li></ul></div>

Solutions Architect

Hyperoptic

Job title: Enterprise Architect Service Now
 Office location with Hybrid working: Hammersmith
 
About the role and the Team: 
The Enterprise Architect - ServiceNow is a senior individual contributor within the Enterprise Architecture function, accountable for the architecture, governance and roadmap of the ServiceNow platform as a strategic workflow and service management capability across the company. The role owns the platform target architecture and standards, spanning core modules such as CMDB/CSDM, IT Service Management (ITSM), Customer Service Management (CSM), Field Service Management (FSM) and IT Operations Management(ITOM), ensuring the platform is coherent, scalable, well-governed and aligned with the enterprise architecture and customer-centric transformation goals.
 The architect defines how ServiceNow integrates with the wider OSS/BSS and enterprise landscape, establishes configuration-over-customisation principles, instance and upgrade strategy, and data/CMDB governance, and champions the adoption of platform AI capabilities (e.g. Now Assist, predictive intelligence and intelligent automation). Designs are presented through the Architecture Review Board and Design Review Board, working in close partnership with Service Operations, Customer Experience, Field Operations, Networks and deliveryfunctions, as well as the ServiceNow vendor and implementation partners.
 Success requires outstanding communication and stakeholder management: the architect must be able to simplify complex platform scenarios for executive, business and technical audiences, and to guide solutions through the full project delivery lifecycle to successful outcomes.
 What will you be doing?
 ServiceNow Platform Architecture & Roadmap
 Own the definition, governance and evolution of the ServiceNow platform architecture, including target architecture, transition states and roadmap, aligned with the enterprise architecture and strategic vision.
 Define architecture and standards across core modules including CMDB/CSDM, ITSM, CSM, FSM and ITOM (Discovery, Event Management, Service Mapping), and assess the fit of additional capabilities (e.g. Telecommunications Service Management, ITAM, HRSD, App Engine) against business demand.
 Establish and enforce configuration-over-customisation principles, technical debt management, instance strategy and upgrade/release governance to keep the platform healthy, performant and evergreen.
 Champion adoption of ServiceNow AI and automation capabilities (e.g. Now Assist/GenAI, Predictive Intelligence, Virtual Agent, Flow Designer/Integration Hub) to enable intelligent automation and improved customer and operational outcomes.
 CMDB & Data Architecture
 Own the CMDB architecture and data model, aligned with the Common Service Data Model (CSDM), ensuring a trusted, well-governed source of configuration and service data.
 Define discovery, service mapping and data population strategies, including reconciliation with network inventory, monitoring and asset sources, with clear data ownership and integrity controls.
 Work with the Data function to align ServiceNow data architecture with the wider enterprise data strategy, reporting and analytics.
 Integration & Solution Design Oversight
 Define the integration architecture between ServiceNow and the wider OSS/BSS and enterprise landscape (e.g. network inventory and assurance systems, CRM/billing, workforce and field systems, data platforms), favouring API-led and event-driven patterns via Integration Hub, REST/SOAP and MID Servers.
 Provide architectural leadership on strategic programmes with ServiceNow scope, taking an end-to-end view across business processes, platform capabilities and integrations through the full project delivery lifecycle.
 Produce and review high-level and solution designs, presenting them through the Architecture Review Board (ARB) and Design Review Board (DRB) with clear rationale, options analysis and traceability.
 Actively resolve complex platform, data and integration issues, providing clear direction and pragmatic solutions that keep delivery moving.
 Stakeholder Engagement & Communication
 Build strong, trusted relationships with stakeholders across Service Operations, Customer Experience, Field Operations, Networks and delivery functions, acting as the recognised authority for ServiceNow architecture.
 Present complex platform scenarios in a clear, simple and compelling way to audiences ranging from developers to senior leadership.
 Support the management of the ServiceNow vendor relationship and implementation partners, contributing to licensing, roadmap and capability discussions to ensure value for money.
 Governance, Standards & Capability Development
 Define and operate platform governance: demand intake, design authority for platform changes, development standards, security and access model, and environment/instance management.
 Set standards, patterns and ways of working for ServiceNow design and development, coaching developers, designers and analysts to raise capability across the function.
 Maintain awareness of the ServiceNow release roadmap and industry best practice, translating it into pragmatic improvements to the platform roadmap.
 
What we are looking for?: 
University degree in Computer Science, Engineering or equivalent experience
 ServiceNow certifications, e.g. Certified System Administrator (CSA), Certified Implementation Specialist (CIS) in relevant modules, or Certified Technical Architect (CTA) - DESIRABLE
 Significant experience in solution/enterprise architecture, including several years architecting the ServiceNow platform at enterprise scale
 Deep familiarity with core ServiceNow modules including CMDB/CSDM, ITSM, CSM and FSM, and their end-to-end process and data flows
 Experience of ITOM capabilities (Discovery, Event Management, Service Mapping) and CMDB population/reconciliation strategies
 Strong experience of ServiceNow integration patterns: Integration Hub, REST/SOAP APIs, MID Servers, event-driven integration and data import frameworks
 Experience in defining platform governance: instance strategy, upgrade/release management, configuration-over-customisation, security and access models
 Previous experience in leading architecture on large-scale programmes through the full project delivery lifecycle, including Agile and hybrid deliveryframeworks
 Working knowledge of TM Forum frameworks (eTOM, SID, Open APIs) - DESIRABLE
 Why work for us?
 We are proud to have been recognized as the Which? Great Value Broadband Provider in March 2026. In 2023, we were voted Broadband Provider of the Year at the Uswitch Telecoms Awards by 20,000 customers and received the Fair Terms Gold Award. Additionally, we have earned the Great Place to Work Certification (2022-23) and were named among the UK's Best Workplaces for Wellbeing (2022).
 Going beyond the expected
 Whatever we're doing - whether we're liaising with property professionals, delivering our network, or installing in a customer's home, going beyond the expected is the benchmark for everything we do. How we work is shaped by our three culture principles:
 We work smarter, together
 We stay focused
 We strive for excellence
 Some of our key Benefits
 Competitive salary
 Global Remote working for up to 2 week per year for those who are able to work remotely
 25 days' paid holiday increasing each year, to a max of 35
 Extra days off for your birthday, moving home, wedding/civil partnership and to volunteer
 Private medical Insurance provided by AXA health
 Life assurance giving you cover of 4 times your base salary
 Partnership with the Kings Trust
 Our pension scheme matches your contributions up to 4%
 Retail offers — discounts from hundreds of recognisable brands
 Free Hyperoptic broadband if you live in a Hyperoptic area
 Enhanced pay for new parents
 We're committed to providing equal opportunities to all applicants and employees. In fact, this is at the heart of our culture and values. We welcome applications from candidates from all walks of life.
 What happens next?
 You apply
 We carefully review your application
 We'll get back to you — even if it's a no (for now)

Enterprise Architect Service Now

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

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

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

Cognizant

Cloud Architect (DevSecOps & LLMOps Engineer)
 Location: London, United Kingdom (Hybrid – 50% work from client office)
 Employment Type: Full-time
 Security Clearance: Must hold or be eligible to obtain UK Security Check (SC) Clearance
 About the Role
 As a Cloud Architect (DevSecOps & LLMOps Engineer) , you will make an impact by designing, building, securing, and operating scalable cloud infrastructure and enterprise Generative AI applications that drive automation, observability, and modern LLMOps practices. You will be a valued member of our Cloud & AI Engineering team and work collaboratively with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions using AWS Bedrock and related technologies.
 
In this role, you will: 
Design, implement, and support secure, scalable AWS infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS native services.
 Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability.
 Develop and maintain CI/CD pipelines, Infrastructure as Code, API integrations, cloud security, IAM governance, monitoring, logging, and production BAU support.
 Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting.
 Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud and AI solutions.
 What You Need to Have to Be Considered
 Strong hands-on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform.
 Strong experience with DevSecOps practices including GitHub Actions, Ansible, Docker, CI/CD automation, security scanning, secrets management, monitoring, logging, and production support.
 Good understanding of LLMOps concepts including LLMs, RAG, embeddings, chunking, vectorisation, vector databases, semantic search, prompt engineering, workflow orchestration (DAG/LangGraph), AI guardrails, and model evaluation.
 Strong experience with API Management platforms such as Amazon API Gateway, Kong, Apigee, or equivalent — with the ability to design, configure, and implement API proxy workflows, authentication, routing, policies, transformations, and API integrations.
 Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting.
 Excellent communication, stakeholder management, and client-facing skills.
 Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
 Must currently reside in the United Kingdom.
 Must be available to start within 4 weeks of receiving an offer.
 Must hold or be eligible to obtain UK Security Check (SC) Clearance.
 These Will Help You Stand Out
 Experience with Kubernetes/EKS, Docker, ServiceNow, Jira, GitHub Runners, CloudFormation, Route 53, WAF, EventBridge, Step Functions, and serverless architectures.
 Hands-on experience with Python development for automation, API integrations, scripting, and cloud-native application development.
 Experience building AI data pipelines, including document ingestion, preprocessing, metadata enrichment, chunking, embedding generation, vector indexing, and retrieval workflows.
 Familiarity with AI prompt development, prompt tuning, prompt templates, and prompt evaluation techniques.
 Exposure to vector databases, OpenSearch, LangChain/LangGraph, knowledge graphs (Neptune), cloud networking, security best practices, cost optimisation, and enterprise production support.
 
Additional eligibility requirements: 
<ul>
<li>Candidates must hold or be eligible to obtain UK Security Check (SC) Clearance</li>
<li>Candidates must be available to start within 4 weeks of receiving an offer.</li>
</ul>
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Cloud Architect

LTM Limited

<div>Role description 
Microsoft Power Platform CoPilot Architect

London, UK(Hybrid)

6 Months contract with possible extension

Primary Skills:

Strong hands on experience with
<ul>
<li>Microsoft Copilot Studio</li>
<li>Power Automate Cloud Desktop</li>
<li>Power Apps Canvas Model Driven</li>
<li>Dataverse</li>
</ul>
Experience integrating backend systems using connectors GRAPH APIs Azure Functions Dataverse 3rd party

Secondary Skills
<ul>
<li>Experience in building LLM apps agents</li>
<li>Handson with Azure AI Foundry project hubs deployments prompt flows evaluations</li>
<li>Strong in Python TypeScript for agent logic function calling and API integrations</li>
<li>Solid understanding of LLM prompting system prompts fewshot patterns and safety guardrails</li>
<li>Experience with Azure services AI Search OpenAIOSS model deployments Functions Storage Key Vault Event GridService Bus</li>
<li>Knowledge of RAG design chunking strategies embeddings hybrid search rerankers</li>
<li>Proficient in CICD IaC observability and cost optimization for LLM workloads</li>
</ul>
Job Description

Role Overview

We are seeking an experienced Microsoft Copilot Studio Power Platform Architect with strong hands on expertise across Copilot Studio Power Automate Power Apps Dataverse and enterprise grade integrations.

The ideal candidate will design and develop intelligent workflows copilots and automation solutions leveraging modern LLM capabilities prompt engineering and Graph API integrations.

Key Responsibilities
<div>
<ul><li>Copilot Studio Development:</li></ul>
</div>
Build extend and maintain copilots using Microsoft Copilot Studio including topics entity extraction actions and generative answers

Develop custom extensions using Power Automate custom connectors and APIs

Integrate copilots with enterprise data sources such as Dataverse Graph API SharePoint Azure Functions and external services
<div>
<ul><li>Power Platform Engineering</li></ul>
</div>
Design and develop Power Automate flows cloud desktop business process flows

Build Canvas Apps and Model Driven Apps with responsive UI and Dataverse backed data models

Implement Dataverse schema tables relationships business rules calculated columns

Apply ALM practices using ADOGitHub including solution packaging deployments
<div>
<ul><li>Integrations Connectors</li></ul>
</div>
Use custom connectors and Power Platform connectors to integrate backend systems
<ul>
<li>REST APIs</li>
<li>Azure Functions</li>
<li>Dataverse</li>
<li>Third party services SAP ServiceNow Salesforce etc</li>
</ul>
Ensure secure authentication OAuth2Azure AD throttling management and robust exception handling
<div>
<ul><li>Prompt Engineering LLM Applications</li></ul>
</div>
Design high quality prompts system instructions and few shot examples for LLM powered copilots

Apply grounding using enterprise data Dataverse SharePoint APIs

Work with hybridvector retrieval and RAG patterns where required
<div>
<ul><li>Microsoft Graph API</li></ul>
</div>
Implement secure integration with Microsoft Graph API to access and manipulate
<ul>
<li>M365 users groups</li>
<li>Mail calendar</li>
<li>Files drives</li>
<li>Teams channels</li>
</ul>
Create Graphpowered automations inside Power Automate and copilots 
Skills 
Mandatory Skills : Power Platform - Power Apps/Power Automate/Power Pages 
 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Microsoft Power Platform CoPilot Architect

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