Lead AI Agent Engineer

System One; Birmingham (AL); On-site; USD 120,000 - 180,000; Full time

Job summary

System One is seeking a Lead AI Agent Engineer to lead the deployment of enterprise AI coding agents across a large financial services environment. You will secure, administer and scale AI agent platforms, drive production readiness, and establish engineering standards for complex integrations and cross-team collaboration.

The role requires deep Python development, AWS Bedrock expertise, and strong security controls experience, including MCP and IAM practices, to enable safe, scalable

Qualifications

• 5+ years hands-on experience implementing and administering enterprise AI coding platforms.
• Strong experience building and configuring AI agents, custom assistants, agent tools, integrations, context management, orchestration, and multi-agent workflows.
• Hands-on knowledge of MCP, including MCP server implementation, authentication, authorization, permissions, identity propagation, credential management, and secure tool access.
• Strong Python development skills, including REST APIs, automation utilities, integration services, agent services, test harnesses, and validation frameworks.
• Strong AWS experience, particularly Bedrock, Bedrock Agents, IAM, Lambda, API Gateway, ECS, CloudWatch, Secrets Manager/Parameter Store, ALB, and VPC/networking.
• Experience implementing least privilege security controls for autonomous agents, users, repositories, APIs, and tools.
• Experience validating AI agent security, including authorization boundaries, token handling, secrets exposure, privilege escalation, cross user/project access, and prompt injection/tool abuse scenarios.
• Experience developing automated agent evaluation, regression testing, security validation, or test frameworks.
• Experience configuring enterprise policies, repository access, model settings, agent permissions, usage controls, and security controls for developer AI platforms.
• Demonstrated experience supporting production developer platforms or AI/ML platforms used across multiple engineering teams.

Responsibilities

• Implement, administer, secure, and support enterprise AI coding agent and developer productivity platforms within a large-scale financial services environment.
• Take AI coding agent capabilities beyond proofs of concept into secure, production enterprise environments.
• Work independently on complex integrations, establish technical standards and controls, develop validation and automation frameworks.
• Provide technical leadership to engineering teams adopting AI assisted development technologies.
• Support production AI agent capabilities across the software development lifecycle, including platform configuration, agent integrations, access controls, functional and security validation, troubleshooting, and ongoing operational management.

Skills

Python development

AWS Bedrock

AI platforms

Security controls

MCP protocol

REST APIs

OAuth/OIDC/SAML/SSO

RBAC/JWT

Multi-agent workflows

GitHub Copilot

Identity & access management

Education

Bachelor's degree in CS/IS

Tools

Bedrock

IAM/Identity Center

Job description

Job Title: Lead AI Agent Engineer
Location: Birmingham, AL, Knoxville, TN or Lafayette, LA
Type: Permanent Full Time

Responsibilities

• Implement, administer, secure, and support enterprise AI coding agent and developer productivity platforms within a large-scale financial services environment.
• Take AI coding agent capabilities beyond proofs of concept into secure, production enterprise environments.
• Work independently on complex integrations, establish technical standards and controls, develop validation and automation frameworks.
• Provide technical leadership to engineering teams adopting AI assisted development technologies.
• Support production AI agent capabilities across the software development lifecycle, including platform configuration, agent integrations, access controls, functional and security validation, troubleshooting, and ongoing operational management.

Requirements

• 5+ years hands-on experience implementing and administering enterprise AI coding platforms, including GitHub Copilot, OpenAI Codex/coding agents, or comparable technologies.
• Strong experience building and configuring AI agents, custom assistants, agent tools, integrations, context management, orchestration, and multi-agent workflows.
• Hands-on knowledge of Model Context Protocol (MCP), including MCP server implementation, authentication, authorization, permissions, identity propagation, credential management, and secure tool access.
• Strong Python development skills, including REST APIs, automation utilities, integration services, agent services, test harnesses, and validation frameworks.
• Strong AWS experience, particularly Amazon Bedrock, Bedrock Agents, Bedrock AgentCore, IAM, Lambda, API Gateway, ECS, CloudWatch, Secrets Manager/Parameter Store, ALB, and VPC/networking.
• Strong understanding of enterprise identity and access management (IAM), including OAuth 2.0, OIDC, SAML, SSO, SCIM, RBAC, JWT, service identities, AWS IAM/Identity Center, and Active Directory/Entra ID.
• Experience implementing least privilege security controls for autonomous agents, users, repositories, APIs, and tools.
• Experience validating AI agent security, including authorization boundaries, token handling, secrets exposure, privilege escalation, cross user/project access, and prompt injection/tool abuse scenarios.
• Experience developing automated agent evaluation, regression testing, security validation, or test frameworks.
• Experience configuring enterprise policies, repository access, model settings, agent permissions, usage controls, and security controls for developer AI platforms.
• Demonstrated experience supporting production developer platforms or AI/ML platforms used across multiple engineering teams.
• Ability to troubleshoot complex cloud, AI agent, identity, API, and platform integrations.
• Technical leadership experience supporting complex enterprise implementations and establishing engineering standards.

Desired Skillset

• Experience with Bash/Shell scripting or PowerShell.
• Experience with asynchronous Python, structured logging, and Python API frameworks.

Educational Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field.