Job Requirements

CLOUD AI SERVICES PRACTICE

~ AMAZON WEB SERVICES

Cloud AI Engineer — Agentic AI & Generative AI (AWS)
Experience: 10-15+ years
Software/ML engineering experience, including at least 3 years building Agentic AI and Generative AI solutions on AWS, to design, build, and deploy production-grade agentic and GenAI systems across the full AI stack.
Responsibilities
Architect and build GenAI solutions using Amazon Bedrock and SageMaker AI, selecting and tuning foundation models (Claude, Nova, Llama)
Design and own Retrieval-Augmented Generation (RAG) pipelines using Titan/Cohere embeddings, Amazon OpenSearch, and Bedrock Knowledge Bases
Lead development of production AI agents using the Strands Agents SDK, deployed on Bedrock AgentCore (Runtime, Memory, Gateway, Identity)
Define and enforce responsible-AI guardrails and lead model/agent evaluation before production release
Own MLOps automation with SageMaker Pipelines and drive fine-tuning/customization of foundation models




Mentor engineers and guide architecture decisions for agentic AI adoption across teams
Required Skills

- 10-15+ years overall software/ML engineering experience, including at least 3 years hands-on with Agentic AI and Generative AI specifically
- Deep hands-on experience with Amazon Bedrock and/or SageMaker AI in a production environment
- Strong grasp of embeddings, vector search, and Retrieval-Augmented Generation (RAG) architecture
- Practical experience building AI agents with tool-calling via the Model Context Protocol (MCP) and multi-agent coordination via the Agent2Agent (A2A) protocol
- Solid Python and AWS fundamentals (S3, IAM, Lambda, API Gateway)

Preferred
AWS Certified AI Practitioner or Machine Learning Engineer - Associate
Experience with MLOps, CI/CD, and production model monitoring at scale
Work Experience
10-15Years

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