Associate Director, AI Application Engineer

Job d:
Posted 27 Days Ago

Start Date:

Location:

US-TX-MCKINNEY-513WA ~ 2501 W University Dr ~ WING A BLDG Country:
United States of America Time Type:
Full time

Date Posted:

Country:

United States of America

Location:

US-TX-MCKINNEY-513WA ~ 2501 W University Dr ~ WING A BLDG

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:
DoD Clearance: TS/SCI

Security Clearance Status:
Active and existing security clearance required after day 1

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

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…