AI Value Engineer

Key Responsibilities
Lead client engagements to scope, prototype, and deliver GenAI-powered
workflows.
Translate business and operational pain points into LLM-based solutions.
Run discovery sessions, use case sprints, and prompt engineering labs with
stakeholders.
Stand up fast-cycle experiments and proofs of concept using tools such as
ChatGPT, Claude, Gemini, or open-source models.
Package successful experiments into reusable artifacts, including prompt
libraries, workflows, and solution playbooks.
Collaborate with subject matter experts, compliance, and technical partners to
validate and refine concepts.
Facilitate live GenAI learning experiences, including intro sessions, role-based
labs, and problem-solving workshops.
Build and deliver enablement materials such as guides, templates, videos, job
aids, and micro-learning tools.
Act as a trusted advisor to teams navigating AI adoption, capability gaps, and
workflow redesign.
Launch and operate internal or client-specific GenAI Labs to drive adoption and
learning-by-doing.
Create frameworks that help teams explore, experiment, and socialize wins
across the organization.
Capture real-world insights to inform product, content, and go-to-market
strategies.
Minimum Qualifications
3 8 years of experience in consulting, product enablement, innovation, or applied
business strategy.
Demonstrated ability to work independently, make decisions, and lead client work
without constant oversight.

Hands-on experience using generative AI for real work, including building
prompts, workflows, and proofs of concept.
Excellent facilitation and storytelling skills, with the ability to bridge business,
compliance, and technical stakeholders.
Ability to think and act quickly in fluid environments, with strong executional
follow-through.
Self-directed learner with high curiosity and a bias toward action.
Preferred Qualifications
Mortgage, fintech, or other regulated industry experience (preferred, not required
willingness to learn quickly is essential).
Familiarity with AI safety, governance, and compliance.
Ability to use or teach tools such as ChatGPT, Claude, Gemini, Notion, Airtable,
Zapier, LangChain, or similar.
Experience in startups, consulting, internal strategy, learning & development
(L&D), or innovation teams.