Generative AI Engineer

The MITRE Corporation is seeking a Generative AI Engineer to support mission-focused research, development, evaluation, and integration of generative AI and agentic AI capabilities across U.S. Government agencies. In this Bridgeport, WV onsite role, you will help translate mission needs into working prototypes that leverage real mission-relevant data, while applying established platforms and hardware for evaluation and iteration.

What you’ll do

• Collaborate with cross-functional teams and provide technical leadership to develop and implement AI solutions, including prototype implementations using generative AI, large language model (LLM) technology, and agentic AI capabilities.
• Analyze data and language processing needs, then recommend innovative approaches for mission-critical problems.
• Prototype AI/GenAI systems or components based on workflow and operational mission requirements, delivering prototypes into operational spaces or systems using real mission-relevant data.
• Evaluate technology solutions against mission data and workflow needs, and provide actionable recommendations for workable approaches to critical challenges.
• Communicate complex technical concepts to non-technical audiences through briefings and/or white papers.
• Lead or contribute to small technical teams to address technical challenges using GenAI capabilities.
• Use MITRE’s Federal AI Sandbox with NVIDIA DGX SuperPod hardware and MITRE’s AI Platform to support research, development, and evaluation of generative AI capabilities.

Required qualifications

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree, or 3 years with a Master’s, or a PhD with relevant experience who can contribute immediately, or an equivalent combination of education and experience.
• Demonstrated recent experience applying large language model (LLM) technology in R&D or operational settings.
• Demonstrated experience prototyping or developing AI components or systems aligned with department capabilities.
• Ability to apply state-of-the-art machine learning techniques to data and natural language processing challenges.
• Experience with Python, Linux, and SQL, plus tools and libraries such as pandas, numpy, scikit-learn, and PyTorch.
• Ability to work independently to learn new technologies, methods, processes, frameworks, and platforms.
• Excellent written and verbal communication skills for explaining challenging technical concepts to both lay and expert audiences.
• Must be eligible to obtain and maintain a Top Secret U.S. Government issued security clearance, which requires being a U.S. Citizen.
• Requires at least 3 days per week onsite.

Preferred qualifications

• Advanced degree in computer science, engineering, computational linguistics, or a related discipline.
• Track record of successful deployment of AI/HLT systems or components used by customers or stakeholders outside of a lab or experimental setting.
• Active DOW Secret or Top Secret security clearance.

Department context

The Generative and Agentic AI Engineering Department works across a range of U.S. Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex mission needs. The team applies generative AI, agentic AI, and AI/ML research and engineering to operational challenges, spanning generative AI applications, agentic AI system design, model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, and MLOps/LLMOps. Work also includes large language models, autonomous AI workflows, data processing pipelines, computational linguistics, knowledge graph construction, identity resolution, and AI/GenAI evaluation.

Location and compensation

• Location: Bridgeport, WV (onsite)
• Salary range: USD 143,600 to 215,400 per year (annual)
• Compensation range and midpoint: $143,600 - $179,500 - $215,400 Annual

Clearance information

• Minimum clearance required for the requisition: None
• Ability to obtain clearance: Top Secret required within one year from date of hire

Technologies

• Generative AI, agentic AI, large language model (LLM) technology, AI/GenAI
• Python, Linux, SQL
• pandas, numpy, scikit-learn, PyTorch
• NVIDIA DGX SuperPod hardware, AI Platform