Associate Director, AI Application Engineer

RTX • McKinney, TX

3d • $157,200 - $298,800 • Onsite

About The Position

Raytheon Software Engineering is seeking an experienced and delivery-focused Associate Director– Artificial Intelligence (AI) Application Engineer to drive applied AI innovation across classified and unclassified environments. This individual will directly contribute to hands-on development, organizational enablement, secure deployment of AI/Machine Learning (ML) capabilities, and advanced research transition. The ideal candidate is not a theorist but a proven executor who delivers real capability into programs and generates business value.

Requirements

• Typically requires a STEM degree with a minimum of 12 years’ relevant experience
• Experience as an AI Practitioner applying AI technologies to solve challenges including SW Dev, SW Security, automation and operational workflows
• Experience with delivery of production AI systems
• Experience designing, training, and deploying Large Language Models (LLMs) and advanced machine‑learning models, including implementing secure ML Ops and DevSecOps practices
• Experience with Python and modern machine -learning frameworks
• Experience deploying AI in cloud and constrained/embedded environments
• Experience leading workstreams
• Ability to obtain and maintain a U.S. Government issued TS/SCI security clearance after day 1.
• U.S. Citizenship is required as only US Citizens can acquire clearance

Nice To Haves

• Experience with delivery of production AI systems
• Classified program experience
• Embedded AI optimization experience
• Integration of AI into legacy/multi-domain systems
• Familiarity with government AI assurance and safety standards
• Active U.S. Government issued TS/SCI security clearance

Responsibilities

• Integrate and deploy AI/ML models, especially Large Language Models (LLMs) and emerging architectures
• Build and operate secure AI pipelines across cloud, tactical, and embedded environments
• Transition prototypes into production systems; support applied research maturation
• Provide organizational enablement through guidance, training, and best practices
• Collaborate across engineering, research, program leadership, and customers
• Evaluate new technologies, ensuring compliance with security and government standards
• Contribute to proposals and technical communication
• Design, integrate, and govern agentic AI systems with guardrails and operational safety
• Apply agent-based workflows that improve engineering and mission execution

Benefits

• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• 401(k) match
• flexible spending accounts
• flexible work schedules
• employee assistance program
• Employee Scholar Program
• parental leave
• paid time off
• holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Manager