Associate Director, AI Software Security Engineer

Raytheon; McKinney (TX); On-site; USD 160,000 - 230,000; Full time

Job summary

Raytheon is seeking an experienced Associate Director– AI Software Security Engineer to drive applied AI innovation across classified and unclassified environments. You will contribute to hands-on development, enablement, secure deployment of AI/ML capabilities, and transition research to programs.

The role requires delivering real capability into programs, leading secure AI pipelines, and collaborating with customers and leadership to create business value.

Qualifications

• STEM degree with minimum 12 years’ relevant experience.
• Experience with Large Language Models and advanced machine learning architectures.
• Experience implementing secure MLOps and DevSecOps pipelines.
• Hands-on experience across AWS, Azure, GCP, and embedded environments.
• Experience with Python and modern machine learning frameworks.
• Experience leading workstreams.
• Ability to obtain and maintain a U.S. Government TS/SCI security clearance; US Citizenship required.

Responsibilities

• Integrate and deploy AI/ML models, especially 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.

Skills

LLMs & advanced ML architectures

Secure MLOps & DevSecOps

Python & ML frameworks

Lead workstreams

Security clearance (TS/SCI)

Education

STEM degree

Tools

AWS

Azure

GCP

Embedded environments

Job description

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.

About the Role

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.

Responsibilities

• 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

Qualifications You Must Have

• Typically requires STEM degree with minimum 12 years’ relevant experience
• 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

Required Skills

• 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

Preferred Skills

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

Pay range and compensation package

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

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