Agentic Capability Engineer

Work You’ll Do

• Design agent system architecture and implement DevSecOps practices for AI workflows
• Build and maintain AI agents, agent systems, and reusable skills/workflows for delivery teams
• Develop and govern prompt, context engineering patterns that produce consistent, high-quality outputs
• Stand up MCP (Model Context Protocol) servers, CLI tools, and agent testing frameworks
• Deliver platform configuration and integrations (CI/CD pipelines, repositories, environments, guardrails)
• Standardize orchestration components—templates, harnesses, observability—for enterprise reuse
• Improve reliability, performance, and maintainability of agent delivery capabilities over time
• Provide technical guidance to ADEs and AEMs on effective use of agentic infrastructure

Qualifications

• Bachelor's degree in Computer Science, Data Science or Engineering
• 7+ years of software engineering experience with demonstrated platform or infrastructure impact
• 5+ years of hands-on experience building, deploying, or integrating AI/ML systems in production environments
• 5+ years of experience with cloud platforms and infrastructure automation (Terraform, Kubernetes, etc.)
• 2+ years of experience with prompt engineering and context optimization skills with measurable quality improvements
• 2+ years of experience designing reusable tools, frameworks, or developer productivity infrastructure
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Must be able to obtain and maintain the required clearance for this role