AI Value Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 25d ago
The date the source published, not the day we noticed it (2026-09-16). Last seen at its source 3h ago.
We have tracked this listing since 3 Oct 2026 (7 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Remote — applicants may work from anywhere within the U.S…
Pay not stated
Similar roles pay $150k–224.6k/yr
Middle 50% of 4031 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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BambooHR employer's own board first seen 7d ago · last seen 3h ago
The listing
AI Value Engineer
Position Summary
PhoenixTeam is a remote-first organization seeking a versatile, high-impact AI Value Engineer to join our AI services team. This is not a narrow role — it’s designed for someone who thrives in ambiguity and can move seamlessly between client delivery, rapid experimentation, hands-on education, and internal capability building.
The AI Value Engineer will lead the application of generative AI to real-world challenges, particularly in complex, regulated environments, working closely with mortgage industry clients. This role calls for a proactive self-starter who can turn insight into action, operate independently, and lead engagements, experiments, and learning efforts with minimal oversight. Mortgage industry experience is preferred; candidates without it should be prepared to ramp up on the domain quickly.
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.
What Success Looks Like
- Clients move from “what is this?” to “we’re using this” — with your guidance.
- Experiments are executed, refined, and scaled into reusable solutions.
- GenAI learning labs unlock energy, capability, and adoption across the enterprise.
- You become the go-to expert for AI-powered business transformation, especially in mortgage.
Position Details
- Employment type: [Full-Time]
- Location: Remote — applicants may work from anywhere within the U.S.
- Hours: [8-5 ET]
PhoenixTeam is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other legally protected status.