обновлено 6 дней назад
AI Deployment Lead
86 800 - 198 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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