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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of an enterprise Agentic AI platform using AWS Bedrock, LangChain, AgentCore, and cloud-native microservices.
Architect scalable AI agent workflows with governed AI features including authentication, authorization, audit trails, observability, and integration.
Mentor junior engineers and establish engineering best practices for AI systems development.
Minimum Requirements
Expertise in Python, FastAPI, REST APIs, microservices architecture, and event-driven backend engineering.
Proficient with AWS cloud technologies including Lambda, ECS/EKS, API Gateway, IAM, CloudWatch, DynamoDB or PostgreSQL.
Experience with AI & LLM technologies such as AWS Bedrock, Agentic AI architectures, LangChain, and prompt engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in architecting and leading complex AI agent systems and multi-agent orchestration workflows in enterprise environments.
Strong backend and cloud engineering skills with demonstrated ability to implement secure, scalable, and observable AI workflows.
Capable of driving technical leadership including mentoring, design reviews, and enforcing best engineering practices.