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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Architect - London, UK - Fulltime Hybrid - **Company:** Capgemini - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Dataspaces, Distributed Systems, Memory Management, Identity and Access Management, Python (Programming Language), Performance Tuning, Software Deployment, Workflow Management Systems, Enterprise Software Applications, Large Language Models, State Machines, Model Validation, Generative AI, Low Latency, Machine Learning Operations, Cloudwatch, Api Gateway - **Published:** June 13, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=f0e422f208f555c0 ## About the Role Do you have experience in Software deployment?, * 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 ## Description * 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. Additional Responsibilities: * 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. ## Related Videos - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [From Black Box to Glass Box : Bedrock AgentCore Observability](https://www.wearedevelopers.com/videos/2126-from-black-box-to-glass-box-bedrock-agentcore-observability) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [Got AI ideas but no money? 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