AI Full Stack Engineer, Agentic Systems & Ontology

Lockheed Martin

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$152,900–$264,960 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $209k
$139k most similar roles pay here $278k

This role pays more than 50% of similar roles. Most pay $162,000–$235,562 — the shaded band above. At the midpoint, this role pays about $209k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 618 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 309 roles with salary data.

Most-posted roles

View all roles at Lockheed Martin

At a glance

TL;DR · AI Full Stack Engineer, Agentic Systems & Ontology

Join Lockheed Martin’s Advanced Solutions team as an AI/ML Full Stack Engineer or a full stack engineer transitioning into AI/ML. This role involves developing innovative solutions that support data-driven decision-making and enterprise-scale services on cloud and on-premise technologies. You will work closely with experts in AI, software engineering, and systems development to architect, deploy, and maintain applications using Python, modern JavaScript frameworks like React.js or Angular, and other programming languages. Key responsibilities include designing knowledge graphs based on ontologies, integrating graph data into applications, and managing APIs and back-end systems. Experience with LLMs, Cloud Infrastructure, GitOps, CI/CD pipelines, and AWS services is essential. This role offers opportunities to mentor junior engineers and contribute to cutting-edge AI technologies within a dynamic environment focused on digital transformation.

What you'll do

  • Develop full-stack solutions using Python, JavaScript frameworks, and other programming languages.
  • Design and validate knowledge graphs based on ontologies for semantic data discovery and reasoning.
  • Architect and deploy enterprise-scale services on cloud and on-premise technologies.
  • Build and manage APIs and back-end systems with REST/OpenAPI specifications.
  • Mentor junior engineers and contribute to the team's innovative AI solutions.

What we're looking for

  • Proven full-stack software development experience with advanced Python and proficiency in at least two other programming languages.
  • Experience designing and validating knowledge graphs based on ontologies and integrating graph data into applications.
  • Demonstrated expertise with API design and specifications, including building and managing APIs and back-end systems.
  • Proficiency with LLMs/Generative AI and Cloud Infrastructure using GitOps methodologies.
  • US Citizenship required due to program requirements and system access.

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