Associate Director - AI Security & ML Pipelines

RTX; Tewksbury (MA); On-site; USD 157,000 - 299,000; Full time

Benefits offered by this job

Relocation Eligibility

Benefits package

Job summary

RTX is seeking an Associate Director for AI Software Security Engineering to drive secure AI delivery across classified and unclassified environments. The role emphasizes hands-on development, secure deployment, and enabling teams to implement AI safely within RTX programs.

The position requires a TS/SCI clearance, is onsite in McKinney, TX / Tucson, AZ / Tewksbury, MA, and involves collaboration with engineering, research, and customers to advance AI capabilities.

Qualifications

• Typically requires STEM degree with minimum 12 years’ relevant experience.
• Experience deploying AI systems.
• Experience working 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 issued 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

AI systems deployment

LLMs

Secure MLOps

Python & ML frameworks

Cloud & embedded

Leading workstreams

Security clearance TS/SCI

Education

STEM degree

Job description

RTX is seeking an Associate Director for AI Software Security Engineering to drive secure AI delivery across classified and unclassified environments. The role emphasizes hands-on development, secure deployment, and enabling teams to implement AI safely within RTX programs.

The position requires a TS/SCI clearance, is onsite in McKinney, TX / Tucson, AZ / Tewksbury, MA, and involves collaboration with engineering, research, and customers to advance AI capabilities.