AI Value Engineer

Team 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.