Artificial Intelligence/Machine Learning (AI/ML) Engineer 3

Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 to serve as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team of engineers and practitioners.

Responsibilities:

• Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission-critical requirements
• Builds models capable of learning from data and generating predictions aligned with customer-defined business logic and objectives
• Demonstrates expertise across model architecture, data pipeline integration, and the application, interpretation, and communication of performance metrics
• Maintains strong foundational knowledge of application development, infrastructure management, data engineering, and data governance to support scalable enterprise solutions
• Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to ensure optimal performance
• Leads geographically distributed teams and frequently serves as the primary technical point of contact for related matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills
• Serve as primary technical point of contact for all AI/ML-related matters with customers and stakeholders
• Lead the design, development, testing, and productization of AI/ML capabilities for mission-critical challenges
• Define and execute AI/ML strategy and roadmaps aligned with mission objectives and customer requirements
• Advise on emerging research areas and technical advancements to support both near-term and long-term goals
• Build, lead, and scale a diverse technical team, including hiring, mentoring, and professional development
• Contribute to workforce planning, labor category definition (LCAT), and staffing strategy as programs mature
• Represent capabilities in customer-facing briefings, engagements, and technical reviews
• Provide end-to-end system integration oversight across pipelines and enterprise systems
• Transform prototypes into scalable, production-ready enterprise solutions
• Design, evaluate, and operationalize models across commercial cloud-based architectures