AI Engineer

Capgemini • Atlanta, GA

4d

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are seeking a highly skilled AI Engineer with deep hands‑on experience in building agentic AI solutions using state‑of‑the‑art LLM platforms such as Anthropic Claude and AWS Bedrock. The ideal candidate is a builder-comfortable designing, implementing, and scaling intelligent multi‑model agent architectures using modern serverless technologies and production‑grade coding practices.

Requirements

• Strong hands-on experience with Anthropic Claude APIs, including Messages API, AgentAPI, and SDKs.
• Demonstrated experience building agentic AI solutions on AWS Bedrock, including AgentCore and Bedrock Agents.
• Proficiency in Python and/or TypeScript, with strong writing, testing, debugging, and API integration skills.
• Solid understanding of AWS serverless architecture and best practices.
• Experience designing multi-model agentic architectures for enterprise use cases.

Responsibilities

• Develop agentic AI solutions using Anthropic Claude APIs
• Build, fine‑tune, and optimize AI-powered agents leveraging Claude Messages API, Claude SDKs, and Agent API.
• Design prompt orchestration flows, memory structures, retrieval strategies, and tool‑use logic for agent interactions.
• Implement complex reasoning chains, multi-step workflows, and autonomous task execution using Claude's advanced capabilities.
• Build enterprise-grade AI agents on AWS Bedrock
• Architect and deploy agentic systems using AWS Bedrock, including AgentCore, Bedrock Agents, and multi-model orchestration patterns.
• Integrate Bedrock models (Anthropic, Amazon Titan, Llama, etc.) for hybrid agent workflows.
• Implement AWS-native capabilities such as knowledge bases, tools, function calling, and event-driven automation for scalable agent behavior.
• Develop backend and orchestration logic using Python and/or TypeScript
• Build production-ready microservices, lambda workflows, and orchestration pipelines using Python/TypeScript.
• Implement clean, modular code for agent logic, tool integrations, memory pipelines, and vector store interactions.
• Leverage AWS serverless services-including Lambda, API Gateway, DynamoDB, Step Functions, EventBridge, and S3-for scalable AI solution design.
• Architect multi-model and multi-agent systems
• Design multi-model agentic ecosystems combining Claude, Bedrock models, and other LLMs based on task profiles.
• Create routing, arbitration, and specialization layers enabling models to collaborate or delegate tasks.
• Implement distributed, resilient architectures ensuring low latency, high throughput, and cost‑efficient runtime performance.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed