Lead AI Agent Engineer

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

• 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.

• 5+ years hands-on experience implementing and administering enterprise AI coding platforms, including Git Hub 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 Agent Core, IAM, Lambda, API Gateway, ECS, Cloud Watch, 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 .
• 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.

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

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