Lead AI Agent Engineer System One - 3.5 Birmingham, AL Job Details Permanent | Full-time 1 day ago Qualifications Regression testing implementation Cloud identity and access management (IAM) Systems integration Software engineering Authorization controls implementation IT user and group management Tooling AWS Secrets Manager Enterprise software Automation software Amazon ECS Software implementation Enterprise solutions implementation AI platforms (beyond public GPTs) Enterprise software support Enterprise software systems development Bachelor's degree Cloud service support Elastic Load Balancing Data access controls implementation Computer networking Cloud networking Amazon CloudWatch Serverless cloud services Amazon VPC Access control management AI-driven automation Cloud monitoring Project leadership Security technology solutions implementations
Full 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. #M- #
