Date Posted:2026-07-13
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
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 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
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
Learn More & Apply Now!- Please consider the following role type definition as you apply for this role
- Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products
This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm
Locations :
McKinney, TX Tucson, AZ Tewksbury, MAAs part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
