AI/ML Lead (Amazon Bedrock AgentCore)

About the role

Vertical Relevance is seeking an experienced Sr. AI/ML Amazon Agentcore to join our team as a full-time, remote employee. In this role, you will design, build, and deploy scalable data solutions on AWS while collaborating directly with customers to modernize their data platforms and cloud capabilities.

We are seeking an experienced Senior, AgentCore AI/ML Lead to serve as the technical leader for a high-profile GenAI platform initiative. This role will drive the architecture, implementation, governance, and operationalization of AI agents within an enterprise-scale AWS environment.

This is not a traditional infrastructure or DevOps position . The ideal candidate must have firsthand Amazon Bedrock AgentCore implementation experience and a proven track record building, deploying, and governing AI agents in production environments.

Role Overview

As the AgentCore AI/ML Lead, you will own the AgentCore platform workstream, defining and implementing the architecture that underpins the organization's GenAI LaunchPad ecosystem. You will work closely with AWS specialists, business stakeholders, and engineering teams to deliver scalable, secure, and governed AI agent solutions.

You will provide technical leadership while remaining firsthand in the design, configuration, and deployment of AI agents, knowledge bases, action groups, and supporting platform services.

Firsthand experience implementing Amazon Bedrock AgentCore in enterprise environments.

Experience building and configuring:

AI Agents

Knowledge Bases

Action Groups

Agent Orchestration Workflows

Experience deploying and managing containerized workloads on Amazon ECS

Strong background in:

API Gateway design and implementation

Authentication and authorization mechanisms

Runtime configuration management

Security and governance expertise, including:

IAM policies and controls

Agent guardrails

Cross-service and cross-agent invocation governance

Platform security best practices.

Technical leadership experience directing engineering and DevOps resources while providing architectural guidance

Ability to operate in evolving environments with limited upfront requirements and collaborate effectively with AWS teams and customer stakeholders

Preferred Qualifications

Terraform (Infrastructure as Code)

MCP (Model Context Protocol) server implementation experience

Enterprise AI platform architecture experience

GenAI governance and responsible AI controls

Key Responsibilities

AI Agent Development

Design, build, and configure AI agents using Amazon Bedrock AgentCore

Develop and manage knowledge bases and action groups

Implement scalable agent architectures and best practices

Platform & Infrastructure Leadership

Lead strategic architecture initiatives, including:

HTTP API migration

MCP server deployment and integration

Agent platform standardization

Guide ECS-based deployment strategies and operational models

Security & Governance

Design and implement enterprise AgentCore guardrails

Define IAM governance and agent interaction controls

Build an enterprise-grade "Agent Kill Switch" capability for emergency shutdown and immediate runtime access revocation

Enterprise AI Registry

Establish a centralized registry for:

AI agents

Foundation models

Reusable blueprints

Platform standards and governance artifacts

Leadership & Collaboration

Provide technical direction to DevOps and implementation resources

Collaborate with AWS account teams during technical deep-dive sessions

Support program governance, prioritization, and delivery planning

Technology Stack

Amazon Bedrock AgentCore

Amazon ECS

API Gateway

IAM

Terraform

MCP (Model Context Protocol)

AWS Secrets Manager

Ideal Candidate

You are a technical leader who combines deep AWS AI expertise with hands-on delivery experience. You have successfully implemented AgentCore-based solutions, understand enterprise governance requirements, and can guide teams through complex AI platform initiatives while remaining actively involved in the technical implementation.

If you have real-world Amazon Bedrock AgentCore implementation experience and are passionate about shaping the future of enterprise AI, we'd love to hear from you.

Why Vertical Relevance?

At Vertical Relevance, we believe in delivering with excellence through teamwork, automating everything, constantly learning, and taking ownership of customer outcomes.

We help organizations navigate complex transformation initiatives across people, processes, technology, and data. Our team brings deep industry expertise and a practical, results-oriented approach to every engagement.

If you are an AWS data engineer who enjoys solving challenging problems, collaborating directly with customers, and building modern cloud data solutions, we’d love to hear from you.

Vertical Relevance is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable law.

Posting text as published by Vertical Relevance.

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senior From the job title

Employment type

full time

Location as listed

Remote, US

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