11 часов 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 (LLM/Agent Workflows): Building prompt structures, agent chains, templates, and playbooks that help ARPA-H program teams use the GRACE AI assistant, with an accent on workflow design, user training, and responsible AI adoption. Focus on translating real-world feedback into product requirements, scaling enablement across teams, and tracking workflow adoption in a federal environment.
Location: Washington, DC, USA; remote work available. Remote employees may occasionally be required to work in person at a Booz Allen or customer facility.
Salary: $86,800–$198,000 annualized USD
Company
provides technology and consulting services, including AI solutions for federal government programs.
What you will do
- Work with ARPA-H program teams to identify high-value workflows and build prompt structures, agent chains, and reusable templates.
- Create libraries of prompt patterns, agent templates, training materials, playbooks, and best practices.
- Run onboarding sessions, office hours, and tailored training for non-technical audiences.
- Develop a network of power users and champions across program teams.
- Observe real workflows, track usage and adoption, and communicate prioritized feedback to the GRACE product, engineering, and design teams.
- Translate ambiguous requests into product requirements and regularly report adoption progress to leadership.
Requirements
- At least 5 years of experience in a customer-facing technical role such as product management, product operations, technical account management, or solutions engineering.
- Experience building with modern LLM tools, including prompt engineering and agent or workflow construction.
- Experience owning customer or stakeholder relationships end to end in a startup, big-tech, or other high-velocity environment.
- 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).
- Strong active listening, customer service, and people-reading skills.
Culture & Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
- Virtual employees are generally expected to keep cameras on during meetings.
- Remote work may include occasional work at a Booz Allen or customer facility.
Hiring process
- Identity verification using biometrics and AI is required during the hiring process.
- Candidates are expected to be on camera during interviews and assessments.
- Use of AI tools during interviews is prohibited unless explicitly permitted.
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