AI Value Engineer

Phoenix Oversight Group LLC

3d•Remote

About The Position

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.

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.

Nice To Haves

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.

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.