AI Engineering Lead for L-CAP Platform

Leidos Inc; Egg Harbor Township (NJ); Hybrid; USD 131,000 - 237,000; Full time

Job summary

Leidos seeks an AI Engineering Lead to guide the AI strategy for the L-CAP program, shaping MLOps pipelines and governance across engineering teams. You will advance AI-augmented development tools, ensure safe, auditable AI deployments, and mentor teams in responsible AI practices.

The role blends cloud-based ML, model monitoring, and enterprise-scale deployment, reporting to the Air Traffic Business Area. Hybrid onsite/remote work supports commutable locations.

Qualifications

• Bachelor's degree with 8+ years AI/ML engineering experience
• ML/AI leadership experience including team and strategy management
• MLOps pipeline design and implementation at enterprise scale
• Strong Python expertise and ML framework proficiency
• Model deployment, monitoring, and lifecycle management
• Experience with AI-assisted development tools and productivity platforms
• Large-scale ML system design and distributed training
• Cloud ML services experience (AWS SageMaker, Azure ML)
• Ability to obtain and maintain a Public Trust
• U.S. citizenship required
• Successful completion of background investigations as required by the government

Responsibilities

• Lead AI engineering strategy and roadmap 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开发 productivity vs operational AI; governance considerations
• Align AI skill sets with program objectives across engineering and operations
• Champion AI-first culture by applying AI-assisted development and automation

Skills

AI/ML leadership

MLOps

Python

PyTorch

TensorFlow

Model deployment

Cloud ML services

Distributed training

Education

Bachelor's degree in AI/ML engineering

Tools

PyTorch

TensorFlow

AWS SageMaker

Azure ML

Job description

Leidos seeks an AI Engineering Lead to guide the AI strategy for the L-CAP program, shaping MLOps pipelines and governance across engineering teams. You will advance AI-augmented development tools, ensure safe, auditable AI deployments, and mentor teams in responsible AI practices.

The role blends cloud-based ML, model monitoring, and enterprise-scale deployment, reporting to the Air Traffic Business Area. Hybrid onsite/remote work supports commutable locations.