Senior AWS AI Engineer
First seen by Alion on Nov 3, 2026.
Hiring: Senior AWS AI Engineer – Agentic AI / Multi-Agent Systems
Location: Bangalore / Gurgaon / NCR
Experience: 6+ Years
Work Mode: As per project/client requirement
We are looking for a hands-on Senior AI Engineer with a strong software engineering background to build, deploy, and operate production-grade Agentic AI and Multi-Agent solutions on AWS.
This is an engineering and delivery role, NOT an architecture role.
Key Responsibilities
• Build and deploy multi-agent solutions using Python, LangGraph & LangChain
• Design and implement orchestration, tool calling, state/memory, checkpointing & Human-in-the-Loop (HITL)
• Implement MCP and A2A capabilities
• Develop RAG/LLM solutions integrated with enterprise APIs, data and business systems
• Build and operate AI solutions using AWS, Amazon Bedrock & Amazon Bedrock AgentCore
• Develop production APIs and integration services using FastAPI and related technologies
• Implement CI/CD, automated testing, AI evaluation, guardrails, observability and security controls
• Work with IAM, least privilege, secrets management and secure tool/API access
• Troubleshoot and optimize production solutions for reliability, performance, latency and cost
Must-Have Skills
5+ years of Software Engineering / AI-ML Engineering experience
Strong Python development skills
Strong hands-on experience with LangGraph & LangChain
Production experience with Agentic AI & Multi-Agent Systems
Hands-on experience with AWS, Amazon Bedrock & Bedrock AgentCore
Experience with MCP & A2A
Strong knowledge of RAG, LLMs, embeddings, vector search, tool calling, state/memory & HITL
Experience with APIs/FastAPI, Docker, Git & CI/CD
Experience with AI evaluation, guardrails, observability and production debugging
Production Experience – Mandatory
Candidates must have personally built, deployed and supported at least 2 production-grade Multi-Agent AI solutions.
POC-only, tutorial, certification or hackathon experience will not be considered sufficient.
Good to Have
• Terraform / CloudFormation
• Kubernetes / EKS
• OpenTelemetry / LangSmith
• SageMaker / MLflow
• Azure / GCP exposure
• SAP integration / SAP environment experience
Preferred Certifications
• AWS Certified Generative AI Developer – Professional
• AWS Certified Machine Learning Engineer – Associate
Hands-on production experience will be given priority over certifications.