Remote AI/ML Lead - Bedrock AgentCore Architect

Vertical Relevance

United States

Remote

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Remote work

Job summary

Vertical Relevance is seeking a Senior AgentCore AI/ML Lead to own the architecture, governance, and deployment of GenAI agent platforms on AWS Bedrock AgentCore. The role collaborates with AWS specialists, business stakeholders, and engineering teams to deliver scalable, secure AI agent solutions in a remote, full-time capacity.

You will drive architecture, implementation, and operational readiness of AI agents, knowledge bases, and activation groups while maintaining hands-on involvement in

Qualifications

  • Firsthand experience implementing AgentCore-based solutions in enterprise environments.
  • Experience building and governing AI agents, knowledge bases, and agent orchestration workflows.
  • Strong background in security, governance, IAM policies and platform governance.

Responsibilities

  • Design, build, and configure AI agents using Amazon Bedrock AgentCore.
  • Develop and manage knowledge bases and action groups; implement scalable agent architectures.
  • Lead strategic architecture initiatives and guide ECS-based deployment strategies and operating models.
  • Provide technical direction to DevOps and engineering teams and collaborate with AWS account teams.

Skills

AgentCore AI/ML
AWS Bedrock
GenAI platforms
Architectural leadership
DevOps collaboration
Security & governance

Tools

Amazon ECS
API Gateway
IAM
Terraform
MCP (Model Context Protocol)
AWS Secrets Manager

Job description

Vertical Relevance is seeking a Senior AgentCore AI/ML Lead to own the architecture, governance, and deployment of GenAI agent platforms on AWS Bedrock AgentCore. The role collaborates with AWS specialists, business stakeholders, and engineering teams to deliver scalable, secure AI agent solutions in a remote, full-time capacity.

You will drive architecture, implementation, and operational readiness of AI agents, knowledge bases, and activation groups while maintaining hands-on involvement in

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