AI Machine Learning Engineer Staff- Level 4

• Bachelor's in Engineering, Computer Science, Systems Engineering, or a related field
• Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience with LLM deployment, prompt engineering, RAG architectures, or AI agent frameworks (LangChain, AutoGen, CrewAI)
• Familiarity with AI and machine learning concepts, including deep learning frameworks and tools
• Experience with Pipeline Automation, such as GitLab
• Familiarity with cloud computing services such as AWS
• Excellent presentation and communication skills with ability to convey complex AI/ML concepts to technical and non-technical audiences
• Experience designing and delivering AI systems end-to-end with minimal oversight
• Self-motivated, self-directed, and the ability to thrive in a fast-paced environment

• Design, develop, and deploy end-to-end AI/ML solutions
• Collaborate with Supplier Quality teams to support new feature development, providing technical expertise and guidance on AI system integration
• Work with stakeholders to identify and prioritize requirements for AI system improvements and new feature development
• Participate in design reviews, code reviews, and testing to ensure high-quality AI systems and toolsets
• Stay up-to-date with emerging AI technologies and trends with the intent on applying this knowledge to improve SQM toolsets and systems
• Partner with Data Analysts, Data Scientist, and Quality Engineers to solve complex problems and create unique solutions identifying high-value AI use cases
• Collaborate with internal teams to ensure AI systems meet Lockheed Martin Proprietary Information (LMPI) sensitivity requirements
• Lead small, cross-functional project teams to execute AI projects
• Contribute to technical roadmaps and best practices for enterprise AI adoption
• Create documentation and best practices to share with the AI/ML community

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Who You Are

You are a multi-faceted teammate able to communicate and function effectively on an engineering team to create a collaborative environment that allows for the establishment of mission goals. Self-motivated and inspired, you thrive in an environment where you are empowered to work your craft, never settling for the bare minimum.

This position is in Fort Worth, TX à Discover Fort Worth.

Desired Skills

• Master's in Engineering, Computer Science, Systems Engineering, or a related field
• Knowledge of cybersecurity principles and pr
• Knowledge of Machine Learning Architectures, including GPU Computing
• Creative and resourceful when it comes to problem-solving
• Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the work backlog
• Working knowledge of analytics, data management, statistics, accounting, or computer applications
• Experience coordinating work while communicating with multidisciplinary project teams consisting of teammates, end-users and leadership
• Experienced in development of SQL or Hana queries
• Familiarity with Robotic Process Automation
• Familiarity with agile development
• Experience with change management
• Experience applying AI to systems integration, test, or validation workflows
• Experience collaborating across systems engineering and sustainment organizations
• Exposure to aerospace or safety-critical engineering environments
• Experience applying AI for process optimization
• Experience leading small technical teams or cross-functional efforts
• Understanding of DevSecOps practices, version control, and agile development
• Awareness of ethical and trustworthy AI principles

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.