AI Full Stack Engineer Sr Stf
Indexed description
- Architectural design and operational ownership of agent hosting infrastructure with focus of scalability and reliability of agentic deployments.
- 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 expereince (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
What You Will Be Doing
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.
Who You Are
You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a strong foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You are a self-starter and your work is executed without much direction, you develop solutions to complex problems requiring ingenuity and creativity. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to developing your skills and that of the team, and staying current with industry trends. You're a team player who is able to collaborate effectively with others and is excited about the opportunity to contribute to projects and initiatives that drive innovation and improvement. You're adaptable and able to work in a dynamic and fast-paced environment.
Further Information About This Opportunity
US Citizenship is required for this role due to program requirements and system access.
#EBDT
Desired Skills
- Enterprise‑scale LLM Tool‑Calling & Retrieval‑Augmented Generation (RAG) pipelines
- Proven expereince 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
- 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
Ability to 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.
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