Lead AI Engineer (Camgian Labs)
At a glance
Senior AI Engineering role at Camgian Corporation. Fort Collins · full-time · no salary stated · we estimate $161,745–$225,300 across the United States.
Camgian Corporation has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Lead AI/ML prototypes from design through testing and deployment while staying hands-on with development
- Set architecture and technical direction, then plan milestones across customer work and internal R&D
- Review designs and code, and address risks involving data, models, integration and dependencies
- Present technical options, results and tradeoffs to customers as their main engineering contact
- Guide engineers, remove delivery blockers and contribute technical approaches to proposals
What you bring
- A relevant bachelor’s degree, such as computer science, aerospace engineering or another listed field
- At least seven years developing, validating and deploying AI/ML systems
- Proficiency implementing algorithms in Python or a comparable language, backed by strong mathematical knowledge
- Experience leading technical work across multiple engineers or workstreams and engaging directly with customers
- U.S. citizenship and eligibility to obtain or retain a U.S. government security clearance
Who this fits
This role suits a senior engineer who wants to lead other engineers while continuing hands-on technical work. It involves travel within the United States of up to ten percent.
From the employer
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.
Qualifications
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 workstreams.
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.
Desired Skills
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 TensorFlow, 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.
Key Responsibilities
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.
Success in This Role
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 while leading the team.
Why Join Us
Join Camgian Labs, the company’s advanced R&D organization focused on developing next-generation capabilities for air, space, and missile defense.
Work on mission-critical AI/ML challenges supporting national security.
Collaborate with experienced engineers, scientists, and operators on high-impact problems.
Influence technical direction in a growing advanced R&D organization.
Ability to move from concept to prototype quickly.
Lead technical efforts while remaining deeply hands-on.
About Camgian
Camgian’s mission is to deliver advanced artificial intelligence and machine learning solutions that accelerate decision-making in high-stakes environments. We develop technologies that help operators respond more effectively to threats across air and missile defense, space defense, and counter-UAS missions by improving situational awareness, speed, and decision quality.