AI Full Stack Engineer Sr Stf

Lockheed Martin•Fort Worth, CO

1d•Remote

About The Position

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 engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated 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 help facilitate training and 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. 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 for information retrieval. 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.

Requirements

15+ years of progressive software development experience, with at least 10 years as a full‑stack engineer on large‑scale, production‑grade systems.
Advanced Python experience (can mentor others and influence best practices)
Expertise in MLOps and cloud‑native deployments and proven track record delivering for/supporting the entire life cycle of an AI-powered application
Experience with LLMs and/or Generative AI.
Demonstrated strategic use of GenAI Coding Assistants to accelerate development, enforce standards, and increase team velocity.
US Citizenship is required due to program requirements and system access
Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience

Nice To Haves

Enterprise‑scale LLM Tool‑Calling & Retrieval‑Augmented Generation (RAG) pipelines
Proven experience leading design and delivery experience in API Development & Integration
Advanced CI/CD & GitOps – architect and govern enterprise‑wide pipelines (GitLab CI, Jenkins, ArgoCD) and automated release strategies for zero‑downtime deployments)
Advanced Data engineering - built and maintained large‑scale ETL/ELT pipelines, data lakes, and relational/columnar stores (RDS, Redshift, Snowflake) that power indexing and relevance models.
Advanced proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages.
Vector and graph database expertise.
Agentic/Autonomous Workflow Design – design, prototype, and operationalize AI agents that orchestrate complex data‑retrieval and decision‑making pipelines.
Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders.
Leadership of multiteam GitHub/GitLab repositories
Strategic stakeholder engagement – regularly advises senior business leaders, external partners, and customers on technical roadmaps and risk mitigation
Experienced in agile development methodologies champion SAFe/LeSS practices, mentor Scrum Masters, and ensure consistent delivery across multiple feature teams)
Proven thought leadership - publications, patents, or open‑source contributions in IR, LLM integration, or MLOps that influence industry best practices.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field

Responsibilities

Architectural design and operational ownership of agent hosting infrastructure with focus of scalability and reliability of agentic deployments.
Contribute to the development of innovative solutions that support the organization's goals and objectives for information retrieval.
Develop solutions that inform data-driven decision making and help the organization stay ahead of the curve.
Architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies.
Mentor and make meaningful contributions to the team's efforts.