AI Manager Security & Infrastructure

Lockheed Martin; Remote; USD 150,000 - 301,000; Full time

Job summary

A leading aerospace and defense corporation is seeking an AI Infrastructure and Security Manager. This role involves managing AI operations, ensuring system stability, and collaborating with engineering teams while working remotely. The ideal candidate should possess strong leadership skills, cybersecurity expertise, and experience in AI security practices. A competitive salary range of $150,800 - $300,495 is offered, along with extensive benefits. The position requires U.S. citizenship and an active Secret clearance.

Benefits

Medical, Dental, Vision Insurance

401(k) match

Education Assistance

Paid time off

Flexible Spending Accounts

Qualifications

• Leadership experience in managing AI operations and security.
• Knowledge of software, cyber, and AI security practices.
• Proficient in programming and scripting with Python, Go, and Bash.

Responsibilities

• Lead a team to maintain AI/ML computing environments.
• Collaborate with engineers and data scientists.
• Ensure system reliability and stability.

Skills

Leadership experience with AI Operations and Security

Software Security practices

Cyber Security practices

AI Security practices

IT principles

Programming and scripting

Strong communication

Tools

Linux

Kubernetes

Ansible

Terraform

GitLab CI/CD

Monitoring tools

Job description

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.

Your Mission

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.

Responsibilities

• 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

Ideal Candidate

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.

Benefits & Compensation

• 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.

Work Location & Schedule

• 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.

Security Clearance

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

Basic Qualifications

• 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

Desired Skills

• Linux (RHEL, Debian, UNIX, etc.)
• Pipeline automation (ArgoCD, Tekton, GitLab CI/CD)
• Container orchestration (Kubernetes, OpenShift, Rancher, GKE)
• Container and image security (Falco, Sysdig Secure, Aqua, Clair, Anchore)
• DevSecOps 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, GitLab)
• Monitoring (Prometheus, Grafana, Thanos)
• Image registries (Quay, Harbor)
• Machine learning architectures: GPU computing, HPC

Other Information

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

Equal Opportunity

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

Application Window

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.