AI Software Security Director

Raytheon

McKinney (TX)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Raytheon is seeking an Associate Director– AI Software Security Engine to drive applied AI innovation across classified and unclassified environments. You will directly contribute to hands-on development, secure deployment, and transition of AI/ML capabilities into programs, delivering real value.

The role requires a strong hands-on leader with experience in secure AI, MLOps, cloud platforms, and the ability to obtain TS/SCI clearance. Onsite work in McKinney, TX, and other locations is required.

Qualifications

  • Must typically hold a STEM degree with 12+ years of relevant experience.
  • Experience with LLMs and advanced ML architectures.
  • Experience implementing secure MLOps and DevSecOps pipelines.
  • Hands-on expertise across AWS, Azure, GCP and embedded environments.
  • Proficient in Python and modern ML frameworks.
  • Ability to obtain and maintain a US government TS/SCI clearance.

Responsibilities

  • Integrate and deploy AI/ML models, including LLMs and advanced architectures.
  • Build, harden, and operate secure AI pipelines across cloud and embedded platforms.
  • Transition prototypes into reliable operational capability.
  • Provide AI development best practices, training, and enablement for teams.
  • Collaborate across engineering, research, leadership and customers.
  • Evaluate new secure AI technologies and lifecycle management.

Skills

Large Language Models
ML architectures
MLOps/DevSecOps
Python
Cloud: AWS/Azure/GCP
Embedded environments
Leading streams
TS/SCI clearance

Education

STEM degree

Job description

Raytheon is seeking an Associate Director– AI Software Security Engine to drive applied AI innovation across classified and unclassified environments. You will directly contribute to hands-on development, secure deployment, and transition of AI/ML capabilities into programs, delivering real value.

The role requires a strong hands-on leader with experience in secure AI, MLOps, cloud platforms, and the ability to obtain TS/SCI clearance. Onsite work in McKinney, TX, and other locations is required.

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