Associate Director, AI Software Security Engineer

Date Posted:

2026-07-15

Country:

United States of America

Location:

US-TX-MCKINNEY-513WM ~ 2501 W University Dr ~ WING M 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.

The Raytheon Software Engineering Team is seeking an experienced and delivery-focused Associate Director– AI Software Security 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 advanced architecture

Build, harden, and operate secure AI pipelines across cloud, tactical, and embedded platforms

Transition prototypes into reliable operational capabilities

Provide AI development best practices, training, and organizational enablement

Collaborate across engineering, research, leadership, and customers

Evaluate new technologies for secure AI including lifecycle management and compliance

Support proposals, business development, and technical communication

Qualifications You Must Have

Typically requires STEM degree with minimum 12 years’ relevant experience

Experience deploying AI system

Experience working with Large Language Models and advanced machine learning architectures

Experience implementing secure MLOps and DevSecOps pipelines

Hands-on experience across Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), and embedded environments

Experience with Python and modern machine learning frameworks.

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 classified program execution

Experience leading workstreams

Embedded AI optimization experience

Integration of AI into legacy and multi-domain systems

Knowledge of AI assurance, safety, and secure deployment 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

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

Location: McKinney, TX, Tucson, AZ Tewksbury, MA

We Are RTX

As 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.