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AI Deployment Lead

86 800 - 198 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Deployment Lead (AI/LLM agents): Build and deploy prompt structures, agent chains, templates, and playbooks for ARPA-H teams using GRACE, with an accent on user training, workflow adoption, and responsible AI use in a federal environment. Focus on designing multi-agent workflows, translating stakeholder feedback into product requirements, and measuring adoption across program teams.

Location: Washington, District of Columbia, USA. Remote work is available, but occasional work at a Booz Allen or customer facility may be required.

Salary: $86,800–$198,000 annualized USD

Company

hirify.global provides technology and consulting services, including AI solutions for federal organizations.

What you will do

  • Identify high-value workflows with ARPA-H program teams and build prompt structures, agent chains, and reusable templates for GRACE.
  • Create libraries of prompt patterns, agent templates, training materials, playbooks, and best practices.
  • Run onboarding sessions, office hours, and tailored training for technical and non-technical audiences.
  • Develop a network of power users and champions across program teams.
  • Observe real workflows, collect feedback, and translate ambiguous requests into prioritized product requirements.
  • Track training completion, usage, workflow adoption, and adoption gaps for leadership.

Requirements

  • 5+ years of experience in a customer-facing technical role such as product management, product operations, technical account management, or solutions engineering.
  • Experience with solutions engineering, technical account management, sales engineering, or forward-deployed work.
  • Experience building with modern LLM tools, including prompt engineering and agent or workflow construction.
  • Experience driving adoption of a new tool or process across a busy organization.
  • Ability to train non-technical audiences, navigate ambiguity, prioritize feedback, and translate it into requirements.
  • Bachelor's degree.

Nice to have

  • Experience with LangChain, CrewAI, Zapier, Make, or other agent frameworks and workflow builders.
  • Experience with Model Context Protocol (MCP).
  • Excellent active listening, collaboration, customer service, and people-reading skills.

Culture & Benefits

  • Work involving practical AI deployment within a federal environment with privacy, security, safety, and responsible-use constraints.
  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work-life programs, and dependent care support.
  • Recognition awards for exceptional performance and demonstration of company values.
  • Virtual employees are generally expected to keep cameras on during meetings.

Hiring process

  • Interviews and assessments include identity verification using biometrics and AI.
  • Interview participants are expected to be on camera; use of AI assistance during interviews is prohibited unless explicitly permitted.

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