Associate Director, AI Application Engineer
Job in
Tewksbury, Middlesex County, Massachusetts, 01876, USA
Listed on 2026-07-15
Listing for:
Raytheon
Full Time
position Listed on 2026-07-15
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Associate Director– Artificial Intelligence (AI) Application Engineer
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.
What You Will Do
- 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
Qualifications You Must Have
- 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 Dev Sec Ops practices
- Experience with Python and modern machine-learning frameworks
- Experience deploying AI in cloud and constrained/embedded environments
Experience leading work streams - 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
Qualifications We Prefer
- 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
What We Offer
- Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value:
Safety, Trust, Respect, Accountability, Collaboration, and Innovation - Relocation Eligibility
Locations:
McKinney, TX Tucson, AZ Tewksbury, MA
Position Requirements
10+ Years
work experience
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