Job title: GenAI Architect
Location: London, UK
About the Job you are considering:
Lead the architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across the GenAI lifecycle while collaborating with engineering, security, compliance, and business stakeholders
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
1. Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock
2. Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows
3. Design agentic AI systems incorporating tool use, workflow orchestration, memory management, and autonomous decision flows
4. Implement observability for prompts, model responses, vector retrieval quality, and agent execution workflows
5. Integrate GenAI capabilities into enterprise applications, APIs, workflow platforms, and data ecosystems
6. Work with security, risk, compliance, engineering, and business teams to enable LLMOps and AgenticOps capabilities - prompt lifecycle management, model observability, caching, evaluation and governance.
7. Ensure compliance with enterprise governance, model risk, auditability, data privacy, and regulatory requirements in highly regulated environments
8. Produce solution documentation, technical standards, and deployment approaches, and support delivery from concept through production.
Additional Responsibilities:
9. Architecture Governance
10. Establish reference architectures, reusable patterns, security standards, and engineering best practices for GenAI adoption across the organization.
11. Provide technical leadership and mentorship to engineering teams implementing GenAI solutions.
12. AI Strategy Alignment
13. Partner with business and product stakeholders to identify high-value GenAI use cases and define measurable outcomes.
14. Vendor / Model Evaluation
15. Evaluate foundation models, embedding models, vector databases, and AI tooling for enterprise suitability.
16. Cost Optimization
17. Optimize inference cost, latency, throughput, and scalability across GenAI workloads.
Your Skills:
18. Experience designing cloud-native GenAI architectures using AWS services such as Bedrock, Lambda, SageMaker, OpenSearch, ECS/EKS, API Gateway, Step Functions, S3, IAM, KMS, and CloudWatch
19. Knowledge of scalable, secure, event-driven, and distributed system architectures
20. Experience integrating structured and unstructured enterprise data sources
21. Experience with RAG, fine-tuning, model evaluation, data privacy, ethical AI, and cross-functional stakeholder management is expected
22. Strong understanding of enterprise security architecture, IAM, encryption, and secure AI deployment practices
23. Experience implementing AI governance, auditability, data privacy, and compliance controls
24. Banking or regulated-industry experience is highly relevant
25. Hands-on Python development experience for building GenAI applications, APIs, orchestration pipelines, and automation workflows is preferred
We are a Disability Confident Employer:
26. Capgemini is proud to be a under the UK Government’s Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
27. Declare they have a disability, and
28. Meet the minimum essential criteria for the role.
29. Please opt in during the application process.
Make It Real (what does it mean for you):
30. You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
31. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
32. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini:
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini: