AI Deployment Lead

The Opportunity:

GRACE is ARPA-H's AI assistant, and its value depends on how well ARPA-Humans put it to work. We are looking for a startup-minded AI Deployment Lead with hands-on experience designing agent and multi-agent workflows on top of existing LLM platforms, and a track record of training people to use new tools well. You will own the relationship between GRACE and the program teams across ARPA-H, from first training session through ongoing use, and you'll be the primary channel bringing what you learn back to the GRACE product, engineering, and design team.

AI Deployment Lead

• Work directly with program teams to identify high-value workflows, and build working prompt structures, agent chains, and templates that solve real problems.
• Build a reusable library of prompt patterns, agent templates, and playbooks other teams can pick up directly.
• Run onboarding sessions, office hours, and team-specific training tailored to how different groups across ARPA-H work.
• Grow a network of power users and champions across program teams.
• Sit in on real workflows, gather what's working and what's broken, and turn it into clear, prioritized input for the GRACE team.
• Translate ambiguous requests into specific product requirements.
• Track usage, training completion, and workflow adoption across the agency.
• Build a clear view of where adoption is working and where it needs attention and bring it to leadership regularly.
• Establish and improve training materials, playbooks, and best practices as GRACE's capabilities evolve.

• 5+ years of experience in a customer-facing technical role such as product management or product operations, technical account management, or solutions engineering
• Experience with solutions engineering, technical account management, sales engineering, or forward deployed work
• Experience in high-velocity environments including tech startups or large-scale industry roles where you owned a customer or stakeholder relationship end to end
• Experience building with modern LLM tools, including prompt engineering and agent or workflow construction
• Experience with product management or product operations, with an instinct for prioritizing feedback and translating it into requirements
• Experience driving adoption of a new tool or process across a busy organization
• Ability to train non-technical audiences on technical tools
• Ability to navigate ambiguity and figure out the next right step without a lot of direction
• Ability to prioritize feedback and translate it into requirements
• Bachelor's degree

• Experience with agent frameworks or workflow builders including Lang Chain, CrewAI, or low-code tools such as Zapier or Make
• Experience with Model Context Protocol (MCP)
• Possession of excellent active listening skills to collaborate
• Possession of excellent customer service and people reading skills to anticipate their needs

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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $ (annualized USD). The estimate displayed represents the…