AI Engineering Lead for Aviation Platform (Hybrid)

Leidos Inc; Gaithersburg (MD); Hybrid; USD 131,000 - 237,000; Full time

Job summary

Leidos is seeking an AI Engineering Lead to drive AI strategy for the L-CAP program, integrating AI-augmented development tools and ML capabilities across engineering workflows. You will lead governance, model deployment, and safety considerations for aviation-critical systems.

The role requires 8+ years in AI/ML, leadership experience, and the ability to obtain a Public Trust. Hybrid work with onsite requirements in multiple U.S. locations.

Qualifications

• Bachelor's degree with 8+ years of AI/ML engineering experience.
• ML/AI engineering leadership including team and strategy management.
• MLOps pipeline design and implementation at enterprise scale.
• Strong Python expertise and ML framework proficiency (PyTorch, TensorFlow).
• Model deployment, monitoring, and lifecycle management.

Responsibilities

• Lead AI engineering strategy and roadmap development for the L-CAP program.
• Design and implement MLOps pipelines for model development, training, and deployment.
• Establish AI-augmented development practices across engineering teams.
• Define model governance including versioning, monitoring, and lifecycle management.
• Evaluate, pilot, and deploy AI development tools across the engineering organization.
• Address safety considerations for AI applications in aviation-critical systems.
• Drive intelligent automation initiatives to improve engineering productivity.
• Integrate AI/ML capabilities with the L-CAP platform architecture.
• Mentor engineering teams on AI/ML best practices and responsible AI principles.
• Differentiate AI capabilities for developer tools vs. operational AI; align objectives.

Skills

AI Leadership

MLOps

Python

PyTorch

TensorFlow

Model Deployment

Monitoring

Governance

Cloud ML

Public Trust

U.S. Citizenship

Education

Bachelor's degree with 8+ years AI/ML engineering experience

Job description

Leidos is seeking an AI Engineering Lead to drive AI strategy for the L-CAP program, integrating AI-augmented development tools and ML capabilities across engineering workflows. You will lead governance, model deployment, and safety considerations for aviation-critical systems.

The role requires 8+ years in AI/ML, leadership experience, and the ability to obtain a Public Trust. Hybrid work with onsite requirements in multiple U.S. locations.