AI Agent Engineer

AI Agent Engineer (FTE)

Location: Virginia (Preferred)

Employment Type: Full-Time (FTE)

Interview Process: In-Person Discussion Required

About the Role

We are seeking a Senior/Lead AI Agent Engineer with deep hands-on expertise in AI coding agents, developer productivity platforms, cloud infrastructure, security, and enterprise-scale agent administration.

This role will lead the implementation, administration, security validation, operational management, and enterprise adoption of AI-powered coding-agent capabilities. The ideal candidate will have proven experience deploying and operating AI coding technologies in production enterprise environments, beyond proof-of-concept initiatives.

Key Responsibilities

AI Coding Agents & Developer AI Platforms

• Implement, configure, administer, troubleshoot, and deploy enterprise AI coding platforms including:
• OpenAI Codex / Coding Agents
• GitHub Copilot
• Manage and administer:
• Enterprise and organizational policies
• User/group access controls
• Repository access
• Agent permissions
• Model configurations
• Tool access and governance
• Usage controls and security policies
• Support coding-agent workflows across the Software Development Lifecycle (SDLC).
• Evaluate coding-agent behavior from both functional and platform-administration perspectives.

Agent Engineering

Hands-on expertise in:

• Agent configuration and orchestration
• Custom AI coding agents
• GPTs and custom assistants
• Agent tools and integrations
• Plugins, Skills, or extensibility frameworks
• Prompt and instruction architecture
• Context management
• Tool selection and execution
• Multi-agent orchestration workflows

Model Context Protocol (MCP)

Strong experience with MCP (Model Context Protocol), including:

• Building and securing MCP servers
• MCP scopes and permissions
• Authentication and authorization
• Fine-grained access controls
• Identity propagation
• Credential management
• Secure integration with enterprise APIs and systems
• Least-privilege access enforcement for AI agents

Experience designing security boundaries around MCP tools is highly preferred.

Identity, Authentication & Authorization

Deep understanding and practical experience with:

• SSO
• SAML
• OAuth 2.0
• OpenID Connect (OIDC)
• Identity Providers (IdP)
• SCIM Provisioning
• AWS IAM
• AWS IAM Identity Center
• Microsoft Active Directory / Entra ID
• Bearer Tokens
• JWT Tokens
• Service Identities
• RBAC (Role-Based Access Control)
• Fine-Grained Authorization

Candidates should be able to design identity flows for both human users and autonomous AI agents.

AWS & AI Platform Expertise

Hands-on experience with:

• Amazon Bedrock
• Amazon Bedrock Agents
• Amazon Bedrock Agent Core
• IAM Roles & Policies
• ECS
• Application Load Balancer (ALB)
• AWS Lambda
• API Gateway
• CloudWatch
• Secrets Manager / Parameter Store
• VPC & Networking Fundamentals

Programming & Development

Strong proficiency in Python is required.

Experience developing:

• REST APIs
• Agent Services
• Automation Utilities
• Integration Services
• Validation Frameworks
• Test Harnesses

Preferred:

• Asynchronous Python
• API Development Frameworks
• Structured Logging

Security & Authorization Validation

Experience validating and securing AI agent platforms against:

• Unauthorized repository access
• Tool authorization issues
• MCP permission boundary violations
• Identity propagation risks
• Token handling vulnerabilities
• Privilege escalation scenarios
• Secrets exposure
• Cross-user / cross-project access risks
• Prompt injection and tool abuse attacks

Experience building:

• Automated agent evaluation frameworks
• Regression suites
• Validation frameworks
• Security test harnesses

Preferred Skills

Shell Scripting / Bash

PowerShell

Prompt Injection Testing

AI Security Assessment & Validation

Ideal Candidate Profile

We are looking for professionals who can demonstrate:

• Significant recent hands-on experience with GitHub Copilot or similar enterprise AI coding platforms.
• Experience with OpenAI Codex or other production-grade coding-agent technologies.
• Multiple years of building and operating enterprise developer, cloud, or AI/ML platforms.
• Experience administering developer-facing technologies used across multiple engineering organizations.

Proven track record of leading technically complex enterprise implementations and platform rollouts.