Senior Generative AI Engineer

The MITRE Corporation•New Bedford, MA
•$143,600 - $215,400•Hybrid

About The Position

The Senior Generative AI Engineer researches, develops, evaluates, and integrates generative AI and agentic AI capabilities to address mission needs for U.S. Government sponsors. The role works across the full range of government agencies and contributes to prototype development and deployment of AI capabilities in operational settings, using mission-relevant data. The position operates in MITRE’s Generative and Agentic AI Engineering Department, which applies AI research and engineering to operational challenges. The department’s work includes generative AI applications, agentic AI system design, model fine-tuning and adaptation, knowledge representation and extraction, AI architectures, MLOps/LLMOps, human language technology, large language models, autonomous workflows and data pipelines, computational linguistics, knowledge graphs, identity resolution, and AI/GenAI evaluation. The engineer provides technical leadership on cross-functional teams, assesses data and language-processing needs, evaluates potential solutions, and communicates technical findings to both technical and non-technical audiences. The position requires at least 50% hybrid on-site work. The hired candidate must obtain a Secret clearance within one year of hire; candidates must be U.S. citizens to be eligible for a security clearance.

Requirements

  • At least 5 years of related experience with a bachelor’s degree in computer science, engineering, computational linguistics, or a related discipline; or 3 years of experience with a master’s degree; or a Ph.D. with relevant experience; or an equivalent combination of related education and work experience.
  • Recent demonstrated experience with large language model technology applications in R&D or operational settings.
  • Demonstrated experience prototyping or developing AI components or systems aligned with the department’s capabilities.
  • Ability to apply state-of-the-art machine learning techniques to data and natural language-processing challenges.
  • Experience with programming languages such as Java or Python.
  • Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems.
  • Excellent written and verbal communication skills, including the ability to explain challenging technical concepts to lay and expert audiences.
  • Ability and willingness to obtain and maintain a DOD Secret clearance within 12 months of hire.
  • Must be a U.S. citizen to be eligible for a security clearance.

Nice To Haves

  • Advanced degree in computer science, engineering, computational linguistics, or a related discipline.
  • Track record of successfully deploying agentic AI, generative AI, and human language technology systems or components used by customers or stakeholders outside a laboratory or experimental setting.
  • Experience leading small- to medium-sized teams to solve practical technical challenges.
  • Active DOD security clearance.

Responsibilities

  • Research, develop, evaluate, and integrate generative AI and agentic AI capabilities.
  • Provide technical leadership on cross-functional teams developing and implementing AI solutions, including prototypes using generative AI, large language models, and agentic AI.
  • Analyze data and language-processing needs and recommend innovative solutions to mission-critical problems.
  • Prototype AI systems or components based on workflow and operational mission needs, and deliver prototype solutions into operational spaces or systems using mission-relevant data.
  • Evaluate technology solutions in the context of mission data and workflow needs, and provide actionable recommendations.
  • Convey complex ideas to non-technical audiences through briefings and/or white papers.
  • Lead or contribute to small technical teams applying generative AI capabilities to technical challenges.
  • Use MITRE’s Federal AI Sandbox, including NVIDIA DGX SuperPod hardware, and AI Platform to support AI research, development, and evaluation.
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