Capgemini is seeking a Gen AI Architect to lead the architecture, design, and delivery of enterprise-scale generative AI solutions on AWS. The role involves building production-grade AI systems using Amazon Bedrock, RAG, and agentic workflows, while driving governance and operational excellence.
Responsibilities
Lead architecture and implementation of GenAI applications using AWS services, especially 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, and engineering teams to enable LLMOps and AgenticOps capabilities
Produce solution documentation, technical standards, and deployment approaches
Requirements
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
Capgemini is a global leader in business and technology transformation, consulting, and digital services. They provide integrated solutions spanning strategy, design, technology, engineering, and business operations, helping organizations leverage AI, cloud, and data technologies.