AI Platform Engineer jobs in United States
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Lockheed Martin · 8 hours ago

AI Platform Engineer

Lockheed Martin is seeking an experienced AI Platform Engineer to support enterprise Machine Learning and Artificial Intelligence systems. The role involves creating products across the AI/ML lifecycle, focusing on the delivery of core AI/ML platform offerings and contributing to various projects to enhance machine learning availability and value to the company.

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Responsibilities

Build and scale Kubernetes-based machine learning operations (MLOps) platforms and associated environments which enable thousands of engineers across LM and customer communities
Integrate machine learning libraries and operational frameworks into an end-to-end environment
Full-stack development and support of MLOps-centric software, integrating RESTful web-services
Work with AI/ML practitioners to solve complex problems and create unique solutions
Continuously evaluate the latest packages and frameworks
Create documentation and best practices to share with the AI/ML community

Qualification

KubernetesMachine LearningDockerCloud ComputingML/AI OrchestrationMonitoring ToolsCollaboration ToolsEmpathyProblem SolvingCommunication SkillsSelf-Motivated

Required

Build and scale Kubernetes-based machine learning operations (MLOps) platforms and associated environments which enable thousands of engineers across LM and customer communities
Integrate machine learning libraries and operational frameworks into an end-to-end environment
Full-stack development and support of MLOps-centric software, integrating RESTful web-services
Work with AI/ML practitioners to solve complex problems and create unique solutions
Continuously evaluate the latest packages and frameworks
Create documentation and best practices to share with the AI/ML community
Experience with Containers, including Open Container Initiative (OCI) and Docker
Experience with Collaboration Tools, such as Slack/Teams, Confluence, GitLab
Experience with Kubernetes Package Management, such as Helm, Kustomize
Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
Knowledge of ML/AI orchestration, such as Kubeflow, Flyte, MLflow
Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig
Familiarity with public cloud computing services, such as AWS, GCP, Azure
Strong oral and written communication skills, and ability to collaborate with cross-functional partners
Creative and resourceful when it comes to problem-solving
A passionate can-do attitude. You are not afraid to try, learn, and improve
Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
Empathy for teammates/users and a desire to make their work frictionless and more efficient
Passion for building things that are useful

Benefits

Flexible work schedules
Comprehensive benefits investing in your future and security

Company

Lockheed Martin

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Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin.

Funding

Current Stage
Public Company
Total Funding
$6.06B
Key Investors
Air Force Research Laboratory
2025-12-05Post Ipo Debt· $3B
2025-08-28Post Ipo Debt· $3B
2023-11-13Grant· $33.7M

Leadership Team

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Jim Taiclet
Chairman, President & CEO
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Craig Martell
Chief Technology Officer
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Company data provided by crunchbase