Senior AI and Decision Engineer

The MITRE CorporationNew Bedford, MA
Hybrid

About The Position

At MITRE, individuals can pursue meaningful work while maintaining a fulfilling life. MITRE is a not-for-profit corporation dedicated to serving the public interest by addressing the nation's most complex challenges across diverse fields such as cybersecurity, healthcare, aviation, defense, and enterprise transformation. The organization is committed to the long-term well-being of its employees, offering competitive benefits, exceptional professional development opportunities, and a culture that values innovation, adaptability, collaboration, technical excellence, and partnership. The AI-enhanced Discovery and Decisions department is actively seeking a Senior Artificial Intelligence and Decision Engineer. This role is ideal for someone with a strong passion for artificial intelligence (AI) and deep expertise in algorithms and decision-making. Specifically, the department is looking for talent proficient in machine learning, including deep learning and reinforcement learning, along with experience in one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human-machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies. As an Artificial Intelligence and Decision Engineer, the individual will engage in a broad spectrum of problems within interdisciplinary teams. Key opportunities include applying large language models to solve sponsors’ decision-making and problem-solving challenges, designing, developing, evaluating, and fielding AI solutions for consequential, mission-critical decisions, and identifying and leading new R&D initiatives to enhance the nation’s artificial intelligence capabilities.

Requirements

  • Requires a minimum of 5 years of related experience with a Bachelor’s degree in computer science or an engineering discipline related to artificial intelligence; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute.
  • Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
  • Ability to articulate challenges in high-stakes decision making with AI and identify gaps.
  • Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.
  • Ability to function as a member of cross-functional teams.
  • Experience with programming languages such as C++ and Python.
  • Must be able to obtain and maintain a US government clearance (DoD Secret government Clearance).
  • Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
  • This position requires a minimum of 50% hybrid on-site.

Nice To Haves

  • Demonstrated recent experience with large language models.
  • Experience with testing and evaluation of AI systems, explainable AI, or strategic AI adoption.
  • Hands-on experience with the development and deployment of AI-enhanced decision system prototypes.
  • A keen interest in learning about and rapidly responding to new problems across a variety of domains.
  • Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
  • Active DoD Secret clearance.

Responsibilities

  • Work in cross-functional teams to develop and implement AI-enhanced decision systems, including capabilities that leverage large language model technology.
  • Apply modern AI and engineering techniques to develop decision support software prototypes based on analysis of workflow and operational needs.
  • Propose and execute novel, cutting-edge research in Al-enhanced decision systems.
  • Evaluate Al solutions against sponsor requirements and produce actionable recommendations.
  • Lead projects or small teams to solve complex decision problems for our sponsors.
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