Lead AI Engineer ( Labs

As a Lead Artificial Intelligence Engineer for Camgian Labs, you will lead a highly technical team developing next-generation AI/ML capabilities for national security missions. You will remain an active technical contributor while owning architecture, technical execution, and delivery across customer-funded and internal R&D efforts. You will work directly with customers, stakeholders, and multidisciplinary teams to turn mission needs into practical, effective solutions from early-stage concepts through prototype delivery.

This role is ideal for an experienced engineer who wants to remain hands‑on while leading engineers, shaping technical direction, and delivering complex technical work.

• Bachelor’s degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
• 7+ years of professional experience in AI/ML development, validation, and deployment.
• Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages.
• Strong mathematical background and knowledge of AI, ML, deep learning, and modern data science techniques.
• Experience leading technical efforts across multiple engineers or work streams.
• Excellent written and verbal communication skills.
• Experience interacting directly with customers and stakeholders.
• Experience working in Agile or iterative development environments.
• Ability to travel up to 10% within the United States.
  
  Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S. citizenship.

• Master’s or PhD in a relevant technical field.
• Experience leading engineering teams or serving as a technical lead.
• Experience conducting design reviews, code reviews, and architecture discussions.
• Experience mentoring engineers and supporting professional development.
• Experience deploying AI models into operational or cloud environments.
• Experience with Tensor Flow, PyTorch, scikit-learn, OpenCV, or similar frameworks.
• Strong systems engineering mindset and ability to manage technical tradeoffs.
• Experience applying AI/ML to air, space, or missile defense missions.

• Lead the design, development, testing, and deployment of AI/ML software prototypes.
• Own technical direction and architecture for assigned efforts and ensure consistency across projects.
• Drive technical planning, estimation, and execution across customer-funded and internal R&D efforts, including defining and tracking technical milestones and deliverables.
• Conduct design and code reviews to ensure quality, scalability, and maintainability.
• Identify and manage technical risks related to data, models, system integration, and dependencies.
• Serve as the primary technical interface with customers, presenting designs, results, and tradeoffs clearly.
• Lead and mentor a team of engineers, supporting team growth, capability development, and scaling of engineering practices.
• Improve team effectiveness through structured planning, clear prioritization, and timely resolution of technical and organizational blockers.
• Ensure engineering efforts align with customer needs and company objectives.
• Lead or contribute to proposal development, including shaping technical approaches, estimates, and solution strategies.

• Deliver technically sound solutions on schedule across multiple efforts.
• Reduce technical risk early through strong architecture and planning.
• Improve team throughput and quality through effective leadership and coaching.
• Build credibility with customers through clear communication and consistent execution.
• Communicate technical progress, risks, and tradeoffs clearly to stakeholders.
• Maintain meaningful hands‑on technical contributions…