Lead AI Engineer

Job Title: Lead AI Engineer

Location: Pittsburgh, PA (onsite)

About The Company

We are a technology company focused on transforming complex, data-intensive government operations into modern, software-driven decision systems. Our platform supports supply chain, science and technology, production, sustainment, logistics, and modernization teams with AI-enabled applications and best-in-class data. We are committed to building high-impact technology that improves mission outcomes, operates in high-security environments, and attracts top technical talent driven by meaningful problem-solving.

Job Summary

We are looking for a Lead AI Engineer to lead an Agentic AI team focused on building and scaling intelligent agent systems for real-world government use cases. The ideal candidate is a hands-on technical leader with experience designing, deploying, and managing LLM-powered systems in production. This role will be responsible for guiding agentic system architecture, leading technical execution, and ensuring delivery of reliable, high-impact AI capabilities.

Key Responsibilities

• Lead the design, development, and deployment of multi-agent systems with tool use, memory, routing, and planning capabilities.
• Provide technical leadership for an Agentic AI team, including architecture decisions, code quality, and model evaluation standards.
• Develop Agent Skills and tools as modular, composable services that integrate with backend systems, models, and data pipelines.
• Establish observability, evaluation, and feedback loops for agent behavior, including telemetry, prompt evaluation, and regression testing.
• Partner closely with Product and Implementation teams to apply agentic AI to complex customer problems.
• Lead Agile ceremonies and technical planning for the Agentic AI team.
  
  

Requirements

• Education: Bachelor’s, Master’s, or Doctorate in Computer Science, Data Science, Engineering, or a related field
• Experience: Minimum 3 years building and deploying ML or LLM-powered systems in production environments; minimum 2 years leading or mentoring engineering teams
• Skills: Python, machine learning systems, LLM frameworks, agent architectures, AWS/cloud infrastructure
• Other: U.S. Citizenship required; willingness to travel up to 10%; ability to obtain a security clearance
  
  

Preferred Qualifications

• Experience designing and deploying complex agentic systems using LLMs
• Hands-on experience with multi-agent coordination, routing, and tool orchestration
• Familiarity with Claude Agent SDK, OpenAI Agent SDK, or similar frameworks
• Experience in startup or high-growth technology environments
• Current or prior U.S. security clearance
  
  

Benefits

• Competitive Salary: Market-aligned compensation based on experience and role scope
• Health and Wellness: Comprehensive medical, dental, and vision coverage
• Work-Life Balance: Flexible work arrangements
• Professional Development: Opportunities for continuous learning, technical growth, and leadership development
• Additional Perks: Exposure to mission-critical work, collaboration with senior leaders, and the opportunity to see direct real-world impact from your work