AI/ML Lead (Amazon Bedrock AgentCore)

Vertical Relevance; New York (NY); Remote; USD 180,000 - 240,000; Full time

Job summary

Vertical Relevance is seeking an experienced Senior AI/ML AgentCore Lead to design, build, and deploy scalable AI agents on AWS Bedrock AgentCore. This remote, full-time role collaborates with customers to modernize data platforms and cloud capabilities, while owning architecture, governance, and production deployment.

You will lead the AgentCore workstream, coordinate with AWS specialists and engineering teams, and implement secure, governed AI agents, knowledge bases, and action groups.

Qualifications

• Hands-on experience implementing AgentCore on Amazon Bedrock.
• Proven ability to design scalable AI agent platforms.
• Strong knowledge of AWS data services and governance.

Responsibilities

• Lead AI agent design, development, and deployment on Bedrock AgentCore.
• Define architecture, guardrails, and governance for enterprise AI agents.
• Collaborate with AWS teams and customers to deliver scalable solutions.
• Provide technical direction to DevOps and engineering teams.

Skills

AgentCore AI/ML

Amazon Bedrock

AWS data solutions

Security governance

Tools

Amazon ECS

API Gateway

IAM

Terraform

MCP (Model Context Protocol)

Secrets Manager

Job description

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 OverviewAs 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 AgentsKnowledge BasesAction GroupsAgent Orchestration WorkflowsExperience deploying and managing containerized workloads on

Amazon ECSStrong background in:

API Gateway design and implementationAuthentication and authorization mechanismsRuntime configuration managementSecurity and governance expertise, including:

IAM policies and controlsAgent guardrailsCross-service and cross-agent invocation governancePlatform security best practices.Technical leadership experience directing engineering and DevOps resources while providing architectural guidanceAbility to operate in evolving environments with limited upfront requirements and collaborate effectively with AWS teams and customer stakeholdersPreferred Qualifications

Preferred Qualifications

Terraform (Infrastructure as Code)MCP (Model Context Protocol) server implementation experienceEnterprise AI platform architecture experienceGenAI governance and responsible AI controls

Key Responsibilities

AI Agent DevelopmentDesign, build, and configure AI agents using Amazon Bedrock AgentCoreDevelop and manage knowledge bases and action groupsImplement scalable agent architectures and best practicesPlatform & Infrastructure LeadershipLead strategic architecture initiatives, including:API migrationMCP server deployment and integrationAgent platform standardizationGuide ECS-based deployment strategies and operational modelsSecurity & GovernanceDesign and implement enterprise AgentCore guardrailsDefine IAM governance and agent interaction controlsBuild an enterprise-grade "Agent Kill Switch" capability for emergency shutdown and immediate runtime access revocationEnterprise AI RegistryEstablish a centralized registry for:AI agentsFoundation modelsReusable blueprintsPlatform standards and governance artifactsLeadership & CollaborationProvide technical direction to DevOps and implementation resourcesCollaborate with AWS account teams during technical deep-dive sessionsSupport program governance, prioritization, and delivery planningTechnology StackAmazon Bedrock AgentCoreAmazon ECSAPI GatewayIAMTerraformMCP (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 indelivering 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.