Job title: GenAI Architect
Location: London, UK
Hybrid working
The places 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; you will be unable to work at home 100% of the time.
Responsibilities
* 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
Architecture Governance
* Establish reference architectures, reusable patterns, security standards, and engineering best practices for GenAI adoption across the organization
* Provide technical leadership and mentorship to engineering teams implementing GenAI solutions
AI Strategy Alignment
* Partner with business and product stakeholders to identify high-value GenAI use cases and define measurable outcomes
* Vendor / Model Evaluation: Evaluate foundation models, embedding models, vector databases, and AI tooling for enterprise suitability
* Cost Optimization: Optimize inference cost, latency, throughput, and scalability across GenAI workloads
Qualifications
* 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
* 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
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. An interview will be offered to candidates who declare a disability and meet the minimum essential criteria for the role.
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