Role Summary :

We are seeking an experienced AWS Technical Lead with 10 years of software engineering experience to lead the design, implementation, and modernization of enterprise AI agent platforms on AWS. The role will own critical workstreams across agent registry, gateway, evaluation, harness engineering, automated onboarding, lifecycle management, security, and platform delivery. The ideal candidate will bring strong hands-on expertise in AWS Bedrock AgentCore, Python, infrastructure as code, CI/CD, API security, and enterprise authorization controls.

Key Responsibilities :

- Lead the architecture and implementation of agent Registry, Gateway, Evaluation, and Harness workstreams.

- Drive automated agent onboarding and end-to-end agent lifecycle management.

- Design and implement Cedar authorization policies, AWS Identity and Access Management controls, and enterprise security guardrails.

- Lead the migration of Semantic Kernel and LangChain-based agents to AWS Bedrock AgentCore.

- Design, build, and manage CI/CD pipelines using GitHub Actions.

- Develop and maintain infrastructure-as-code deployments using Terraform, AWS CDK, and AWS CloudFormation.

- Build and integrate secure REST APIs and Model Context Protocol interfaces.

- Implement authentication and authorization patterns using OAuth 2.0 and OpenID Connect.

- Collaborate with architecture, security, platform, and engineering stakeholders to ensure scalable and reliable platform delivery.

- Provide hands-on technical guidance, mentor engineering teams, and resolve complex technical blockers.

- Promote engineering best practices across code quality, automation, observability, security, and deployment governance.

Mandatory Skills :

- 10+ years of software engineering experience.

- Strong hands-on experience with AWS Bedrock AgentCore.

- Expertise in Cedar authorization policies, AWS Identity and Access Management, and Service Control Policies.

- Strong experience with infrastructure-as-code technologies: Terraform, AWS Cloud Development Kit, AWS CloudFormation.

- Proficiency in Python.

- Experience designing and managing CI/CD pipelines using GitHub Actions.

- Strong understanding of REST API design and integration.

- Experience with Model Context Protocol.

- Knowledge of authentication and authorization standards, including OAuth 2.0 and OpenID Connect.

- Experience leading complex technical workstreams and providing engineering direction.

- Ability to mentor development teams and resolve architecture, integration, and delivery challenges.

Nice to Have Skills :

- Experience with AWS Strands, LangChain, and Semantic Kernel.

- Exposure to enterprise agent platforms and large-scale agent lifecycle management.

- Experience with Gemini Enterprise integrations.

- Knowledge of Amazon Neptune and Amazon OpenSearch.

- Experience working in Life Sciences environments with GxP and DSDLC compliance requirements.