Procurement AI Engineer

Lockheed Martin's Supply Chain Analytics and Affordability (SCAA) Team is looking for a experienced AI Engineer to support Corporate Procurement Operations. The individual must have a desire to work in a fast-paced environment, tackling both technical and business challenges in collaboration with cross-functional counterparts across the Enterprise. This person will work closely with the LM Data and AI offices to explore and develop AI capabilities specific to Supply Chain needs.

This person will:
- Be involved in the inception of ideas and drive the development cycles from prototype through production ready AI technology to advanced Supply Chain capabilities
- Serve as the algorithm expert with up-to-date knowledge on modern AI research
- Implements GenAI solutions to increase efficiency of Procurement and Sourcing processes
- Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems
- Optimizes the performance of AI algorithms, applications, and platforms
- Creates production grade AI applications to enable and enhance Procurement processes
- Develops and documents algorithm and implementation requirements- Bachelor's degree in Data Science, Computer Science, or related field
- Proficient in programming languages such as Python or R
- Experience with machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch
- Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning
- Experience in LLMs, RAG architecture, and GenAI
- Ability to design, develop, and deploy AI and machine learning solutions.
- Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas.
- US Citizenship- Experience transitioning modern AI solutions from prototype to production, particularly GenAI solutions
- Knowledge of LM supply chain processes and data
- Knowledge of SAP ERP Systems, Applications and Processes and data constructs
- Ability to coordinate efforts across multiple technical teams