Lead AI and Decision Engineer

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Our AI-enhanced Insights and Decisions department has a need for a Lead Artificial Intelligence and Decision Engineer with a passion for artificial intelligence (AI) and expertise in algorithms and decision making. We are specifically looking for talent in 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-centered AI, 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, you will have opportunities to work on a wide range of problems, working in interdisciplinary teams. Your experience will allow you to:

* Apply large language models to sponsors' decision making and problem-solving challenges.

* Design, develop, evaluate, and field AI solutions that inform consequential, mission-critical decisions.

* Identify and lead new R&D opportunities to strengthen the nation's growing artificial intelligence capabilities.

Roles & Responsibilities :

* Provide technical leadership on cross-functional teams developing and implementing 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.

* Convey complex ideas to non-technical audiences through briefings and/or white papers.

* Lead, mentor, and collaborate with technical staff

Basic Qualifications:

* Typically requires a minimum of 8 years of experience in artificial intelligence with a Bachelor's degree in a relevant field; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of AI-related education and work experience.

* 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-centered AI, 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.

* 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.

* Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.

* Proven ability to lead interdisciplinary teams and engage senior mission…