Job title: GenAI Architect
Location: London, UK
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
* Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock.
* Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows.
* Design agentic AI systems incorporating tool use, workflow orchestration, memory management, and autonomous decision flows.
* Implement observability for prompts, model responses, vector retrieval quality, and agent execution workflows.
* Integrate GenAI capabilities into enterprise applications, APIs, workflow platforms, and data ecosystems.
* Work with security, risk, compliance, engineering, and business teams to enable LLMOps and AgenticOps capabilities—prompt lifecycle management, model observability, caching, evaluation and governance.
* Ensure compliance with enterprise governance, model risk, auditability, data privacy, and regulatory requirements in highly regulated environments.
* Produce solution documentation, technical standards, and deployment approaches, and support delivery from concept through production.
Your Skills
* 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.
* Knowledge of scalable, secure, event‑driven, and distributed system architectures.
* Experience integrating structured and unstructured enterprise data sources.
* Experience with RAG, fine‑tuning, model evaluation, data privacy, ethical AI, and cross‑functional stakeholder management is expected.
* Strong understanding of enterprise security architecture, IAM, encryption, and secure AI deployment practices.
* Experience implementing AI governance, auditability, data privacy, and compliance controls.
* Banking or regulated‑industry experience is highly relevant.
* Hands‑on Python development experience for building GenAI applications, APIs, orchestration pipelines, and automation workflows is preferred.
EEO Statement
We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) 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 declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process.
Benefits
* You will be empowered to explore, innovate, and progress with Capgemini's learning for life mindset, including access to 250,000 courses and numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications.
* You will benefit from corporate wellbeing initiatives such as Mental Health Champions and wellbeing apps like Thrive and Peppy.
* You will join a company recognized as one of the World's Most Ethical Companies for 13 consecutive years.
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