Senior AI/ML Security Engineer: On-site Fort Meade

Google; Maryland; On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days

Job summary

Google Public Sector seeks a Security Engineer specializing in AI/ML to build and defend trusted AI deployments. You will secure on-prem GPU clusters and cloud environments, architect LLM deployments, and ensure a strong security posture across MLOps.

The role requires 5+ years in AI/ML or software, Docker/Kubernetes, Python with PyTorch/TensorFlow, a TS/SCI clearance with polygraph, and willingness to travel up to 25%. On-site work in Fort Meade, MD with possible Maryland remote options.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI or related field, or equivalent practical experience.
• 5 years of AI/ML development, AI infrastructure engineering, or software development.
• 5 years of experience with containerization (Docker) and orchestration (Kubernetes).
• 5 years of Python programming and libraries like PyTorch, TensorFlow, or Hugging Face Transformers.
• Ability to travel up to 25% of the time.
• Active Top Secret/SCI security clearance with current polygraph.

Responsibilities

• Architect and manage LLM deployments on-prem and cloud; audit multi-agent orchestration and data flows.
• Use Docker and Kubernetes to orchestrate scalable inference and training environments.
• Protect model weights and secure data ingestion across the MLOps lifecycle.
• Investigate and mitigate AI threats; map findings to MITRE ATLAS, OWASP for LLMs, and STRIDE models.
• Bridge local high-compute clusters with cloud AI services while maintaining security.

Skills

AI/ML development

Python programming

Security clearance (TS/SCI)

Willingness to travel

Education

Bachelor’s degree in Computer Science, Data Science, AI or related field

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Hugging Face Transformers

Job description

Google Public Sector seeks a Security Engineer specializing in AI/ML to build and defend trusted AI deployments. You will secure on-prem GPU clusters and cloud environments, architect LLM deployments, and ensure a strong security posture across MLOps.

The role requires 5+ years in AI/ML or software, Docker/Kubernetes, Python with PyTorch/TensorFlow, a TS/SCI clearance with polygraph, and willingness to travel up to 25%. On-site work in Fort Meade, MD with possible Maryland remote options.