AI Manager -Security & Infrastructure; telework

Description

When it comes to using cutting‑edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate. Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before. Through our dedication to our mission, our AI‑enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.

As the AI Infrastructure and Security Manager, you will be embedded in the AI Factory team working alongside MLOps platform engineers, software engineers, product managers, and data scientists. You will focus on the stability and reliability of AI/ML computing resources, orchestration, automation, and services. In addition you will contribute to a broad range of projects across the enterprise to increase machine‑learning availability and value to Lockheed Martin.

• Lead a team of infrastructure and platform engineers
• Build and maintain complex computing environments designed to train, deploy, and operate AI systems
• Address user needs and resolve system reliability and stability concerns
• Collaborate closely with AI/ML Engineers, Data Scientists, and Data Engineering subject‑matter experts
• Collaborate closely with Central IT, Cybersecurity, and Engineering teams for on‑premises and cloud deployments of the platform
• Work with vendors to advocate for Lockheed Martin’s needs for Machine Learning and AI platforms

Highly skilled and dynamic individual with excellent strategic planning, problem‑solving, and project management skills. Self‑motivated, resourceful, and adaptable with a can‑do attitude and strong interpersonal skills to effectively collaborate with internal stakeholders in a fast‑paced, constantly evolving industry.

• Competitive salary: $173,400 - $300,495 in major metropolitan areas (California, Massachusetts, New York) or $150,800 - $265,880 in other states. (Details vary by location.)
• Medical, Dental, Vision, Life Insurance, Short‑Term Disability, Long‑Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, Holidays.
• Incentive plan eligible.

• Remote full‑time telework; employee may travel to a Lockheed Martin office for periodic meetings.
• Schedule:
  
  4 × 10‑hour days, 3 days off per week.

Requires Secret clearance prior to starting. Must be a U.S. Citizen.

• Leadership experience with AI Operations and Security
• Software Security practices (MFA, least privilege, monitoring, encryption, or mutual authentication)
• Cyber Security practices (intelligence‑driven defense, threat‑driven methodologies, cyber‑kill chain)
• AI Security practices (data provenance, adversarial AI)
• IT principles: networking, storage, computing, security, distributed services
• Programming and scripting:
  Python, Go, Bash
• Strong oral and written communication; collaboration with cross‑functional partners
• Active Secret clearance prior to start

• Linux (RHEL, Debian, UNIX, etc.)
• Pipeline automation (ArgoCD, Tekton, Git Lab CI/CD)
• Container orchestration (Kubernetes, Open Shift, Rancher, GKE)
• Container and image security (Falco, Sysdig Secure, Aqua, Clair, Anchore)
• Dev Sec Ops  and cloud‑native practices
• Container storage interfaces, persistent volumes
• Helm or Kustomize for Kubernetes automation
• Ansible or Terraform for infrastructure automation
• Collaboration tools (Teams, Confluence, Git Lab)
• Monitoring (Prometheus, Grafana, Thanos)
• Image registries (Quay, Harbor)
• Machine learning architectures: GPU computing, HPC

• Relocation available:
  Possible
• Experience level:
  Experienced Professional
• Business unit:
  Enterprise Business Services
• Career area:
  Artificial Intelligence
• Type:
  Full‑time
• Shift: First

Lockheed Martin is an equal‑opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5‑30 days of the requisition posting date to receive optimal consideration.