[Remote] Forward Deployed Data Scientist

Note: The job is a remote job and is open to candidates in USA. Air is hiring a Forward Deployed Data Scientist to develop and deploy AI solutions that help government clients address complex defense acquisition challenges. The role involves translating customer needs into technical workflows, evaluating and improving solutions, and working with customers and technical teams to deliver production capabilities.

Responsibilities

• Developing new AI methods and using existing ones to solve complex defense problems
• Developing working AI systems and deploying them
• Rapid prototyping of AI models, systems, heuristics, and agentic solutions
• Working directly with customers to understand and solve their problems
• Translating customer problem definitions into technical requirements for AI-based systems
• Translating vague customer needs into concrete AI workflows and Data Science solutions
• Evaluating solution effectiveness with customers, tuning, and redefining solutions when needed
• Deploying code into production AI systems
• Taking end-to-end ownership of client problems
• Communicating clearly with both non-technical and technical users
• Working with AI platform, agentic AI, and data engineering teams to build end-to-end solutions in production deployments
• Collaborating with AI platform and agentic AI teams to generalize capabilities into reusable agentic AI features/skills for other deployments
• Wrapping AI/DS solutions into AI agentic/skills frameworks
• Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools

Skills

• U.S. Citizenship is required
• Ability to translate customer problems into technical AI requirements, and write down the documentation to be used by multiple teams
• Deep ability to embed with clients, understand vague business or national security challenges, and translate these customer problems into concrete, actionable technical requirements and detailed documentation for AI-based systems
• Expertise in rapidly prototyping models, heuristics, and agentic solutions. The ability to translate vague needs into concrete AI workflows and Data Science solutions, followed by deploying production-grade code and taking end-to-end ownership of the client's problem
• Skill in defining concrete AI workflows from vague requirements
• Experience evaluating and tuning AI solutions for effectiveness. Experience in measuring the impact of AI/DS solutions
• Competency in deploying code into production AI systems. Competency in building agent/skills solving particular problems
• Expertise in integrating AI/DS solutions into agentic frameworks
• End-to-end ownership of client problems
• Strong communication with non-technical users and technical users
• Collaboration with cross-functional teams for production deployment
• Strong collaboration and communication skills to work effectively with AI platform and data engineering teams. This includes generalizing unique AI/DS solutions into reusable agentic features/skills and integrating them into agentic frameworks for other production deployments
• A strong publication record in the top conferences in one of the AI, ML, NLP, or decision science areas
• Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
• Extensive expertise in specialized domains such as Operations Research, Optimization, and Decision Science
• Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions

Benefits

• Remote work option; the role may also be based out of the Arlington, VA, or Pittsburgh, PA, office.

Company Overview