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Associate Director, AI Application Engineer

Job in Tewksbury, Middlesex County, Massachusetts, 01876, USA
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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