AI/ML Engineer - Mid-Career - Level 3

WHAT WE’RE DOING

LockheedMartin is seeking an experienced Level 3 AI Engineer to lead the design, development, and deployment of AI‑driven automation solutions. The role focuses on leveraging AI agents, large language models (LLMs), and advanced AI toolchains to streamline and automate business processes such as computer‑vision‑based OCR, image recognition, automated data entry, data extraction, and contextual understanding of textual communications (e.g., emails). The engineer will work primarily with Python and SQL, while also evaluating and integrating additional technologies as needed, always using LockheedMartin‑approved AI platforms and security‑compliant tools.

THE WORK

AI/ML Solution Architecture Design end‑to‑end AI pipelines that incorporate agents, LLMs, and domain‑specific models. Define system architecture, data flow, and integration points with existing enterprise services. Computer Vision & OCR Develop and fine‑tune OCR pipelines for high‑accuracy text extraction from scanned documents, emails, forms, and images. Natural Language Understanding Implement LLM‑based parsers to extract intent, entities, and actionable items from emails, tickets, and unstructured text. Create context‑aware summarization and routing engines to automate workflow decisions. Automation & Process Orchestration Combine AI components into reusable “agents” that can autonomously retrieve data, perform transformations, and update downstream systems. Data Engineering & Integration Write performant Python scripts and SQL queries for data ingestion, cleansing, and storage in ERP as well as data warehouse. Ensure data lineage, versioning, and compliance with LM security policies utilizing GitLab. Tooling & Platform Governance Work exclusively with Lockheed Martin‑approved AI platforms (e.g., LM AI Factory). Participate in security reviews, model‑risk assessments, and compliance documentation. Collaboration & Mentorship Partner with product owners, system engineers, and domain experts to translate business needs into AI solutions. Mentor junior engineers, conduct code reviews, and promote best practices for reproducibility and testing. Continuous Innovation Evaluate emerging AI research (foundation models, prompting techniques, multimodal AI) for potential application within LM’s mission‑critical environments. Prototype proof‑of‑concepts and iterate based on stakeholder feedback. Please Note: While this is a hybrid telework role, candidates should be local to one of the following locations to be able to work onsite and be considered for this role. Relocation assistance is not provided. Milwaukee, WI Orlando, FL Marietta, GA Stratford, CT Fort Worth, TX A Level 3 employee is mid‑career and typically has 3+ years of related professional experience.

WHY JOIN US

Our benefits are built to match the caliber of your work. Reliable, high performing, and mission ready. You’ll enjoy world class resources, mentorship, continuous learning, competitive compensation, comprehensive benefits, and a supportive work life balance—all within a culture that values innovation, integrity, and collaboration. Basic Qualifications Education Bachelor’s Degree in Computer Science, Electrical Engineering, Data Science, or a related field. Experience 3+ years of professional experience developing AI/ML solutions in production environments. Hands‑on experience with Python (including libraries such as PyTorch, TensorFlow, scikit‑learn, OpenCV, LangChain). Strong SQL skills (writing complex queries, optimizing performance). Technical Skills Experience with large‑scale cloud AI services (ChatGPT, Claude, Gemini, etc.) that have been vetted for LM use. Computer‑vision expertise (OCR, object detection, image classification). Experience building or fine‑tuning LLMs for text understanding, prompting, and tool‑use. Familiarity with AI agents or autonomous tool‑use frameworks. Knowledge of data pipelines, ETL, and workflow orchestration. Version control (GitLab/GitHub). Soft Skills Excellent problem‑solving and analytical abilities. Strong communication skills to convey technical concepts to non‑technical stakeholders. Proactive, self‑directed, and comfortable leading cross‑functional initiatives. Desired Skills Master’s or Ph.D. in a relevant discipline. Experience working with or on the Lockheed Martin AI Factory team. Prior work in aerospace and defense. Clearance Level: None Other Important Information You Should Know 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. Ability to Work Remotely: Part‑time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. 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: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full‑Time Shift: First #J-18808-Ljbffr 慨正橡扯