AI Value Engineer
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Job Description
AI Value Engineer helping PhoenixTeam’s mortgage clients adopt generative AI workflows. Leading experiments, client enablement, and GenAI learning labs for regulated environments.
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 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
- Help clients move from initial AI awareness to active use
- Execute, refine, and scale experiments into reusable solutions
- Drive enterprise GenAI capability and adoption, especially in mortgage
- Serve as a go-to expert for AI-powered business transformation
Requirements:
- 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
- Mortgage, fintech, or other regulated industry experience preferred, but not required
- 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
- Willingness to learn the mortgage domain quickly if lacking mortgage industry experience
Benefits:
- Remote-first organization
- Remote work from anywhere within the U.S.
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