AI Full Stack Engineer - Agentic Systems & Ontology

Job ID: 725766BR

Date posted: Apr. 28, 2026

Description: Join Lockheed Martin's digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval.
The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting‑edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.

Responsibilities

In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization’s goals and objectives. You will develop solutions that inform data‑driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise‑scaled services hosted on Cloud and on‑premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team’s efforts.

Candidate Profile

You are a motivated and enthusiastic AI/ML engineer/full‑stack developer with a solid foundation in software engineering, systems development, cloud‑ready infrastructure, and AI technologies. You have a growth mindset, are curious and eager to learn about new technologies and solutions, and are committed to enhancing your skills and staying current with industry trends. You’re a team player who can collaborate effectively. You’re adaptable and willing to learn and mentor junior engineers, are able to navigate complex technical problems independently with general guidance and support, and are looking to build your skills and experience in a dynamic and fast‑paced environment.

Additional Information

US Citizenship is required for this role due to program requirements and system access.

Basic Qualifications

• Proven full‑stack software development experience with advanced Python (proficient to mentor others and review code), proficiency in at least two other programming languages (e.g., Java, C++, Go), and modern JavaScript frameworks (React.js, Angular).
• Ability to design and validate knowledge graphs based on ontologies and integrate graph data into applications, with experience handling the entire lifecycle of an AI‑powered application.
• Experience with LLMs/Generative AI and Cloud Infrastructure with GitOps.
• Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON‑Schema), including building and managing APIs and back‑end systems.
• US Citizenship is required due to program requirements and system access, and a Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field (or equivalent education/experience).
• Proven experience maintaining/managing GitHub/GitLab projects with multiple developers on it.
• Experience with strategic use of GenAI Coding Assistants.

Desired Skills

• Experienced in designing and validating knowledge graphs (KG) based on ontologies and the integration of graph data into applications. Experience with KG adjacent tools and technologies (e.g., RDF, OWL, SPARQL, Ontop).
• Expertise with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands).
• Expertise with autonomous workflows, Agentic devOps, and the Agentic development lifecycle.
• 5+ years of hands‑on experience with AWS services, Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage, for building, deploying and scaling applications.
• Expertise setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with background deploying/using Terraform/Ansible.
• Data engineering experience.
• Experience with production‑level LLM Tool‑Calling workflows.
• Expert Design and delivery experience in API Development & Integration (REST, GraphQL, etc).
• Expertise and strategic use of GenAI Coding Assistants.
• Excellent communication, collaboration, and cross‑functional stakeholder experience.
• Understanding of Lockheed Martin’s Business Area(s) – solid understanding of that area’s end‑to‑end business processes and supporting data.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, AI/ML or related field.

Job Details

• Experience Level: Experienced Professional
• Business Unit: ENTERPRISE BUSINESS SERVICES
• Relocation Available: No
• Career Area: Artificial Intelligence
• Type: Full‑Time
• Shift: First
• Clearance Level: None

Expression of Interest

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified, you may be contacted for this and future openings.

Work Remotely

Full‑time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

Work Schedules

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five‑day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time Off benefits.

Schedule for this Position

4×10 hour day, 3 days off per week.

Pay Rates

California, Massachusetts, and New York (major metropolitan areas): $152,900 – $264,960 per year.

Other states: $132,900 – $234,370 per year.

Benefits

• 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 Eligibility

This position is incentive plan eligible.

Equal Opportunity Statement

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.

State‑Specific PTO and Vacation

(Washington state applicants only) Non‑represented full‑time employees accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

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