AI Value Engineer

PhoenixTeam

. Lead client engagements to scope, prototype, and deliver GenAI-powered workflows .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading client engagements to develop and implement GenAI-powered workflows, with a strong focus on building business cases and measuring ROI. Proficient in facilitating collaborative learning experiences and driving AI adoption through hands-on experimentation and effective communication.

Highest-signal resume keywords

Generative AI ExperienceBusiness Case DevelopmentFacilitation SkillsAI Safety and ComplianceModel API Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Prompt EngineeringWorkflow DevelopmentProofs of ConceptCycle Time MeasurementCost AnalysisError Rate AssessmentRework Rate AnalysisROI PresentationData AnalysisExperimentation

Soft Skills

Independent Decision-MakingStorytellingCuriosityExecutional Follow-ThroughCollaboration

Tools & Technologies

ChatGPTClaudeGeminiNotionAirtableZapierLangChain

Certifications & Qualifications

Public Trust Clearance Eligibility

Industry Keywords

ConsultingFintechMortgageRegulated IndustryInnovationLearning & Development

About the role

Key responsibilities & impact

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
Establish current-state baselines for cycle time, cost per transaction, error, and rework rates
Build and defend business cases that size expected impact and underlying assumptions
Measure realized value post-deployment and report outcomes to client executives
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
Capture real-world insights to inform product, content, and go-to-market strategies

Requirements

What you’ll need

3–5 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
Experience building business cases — establishing baselines, sizing impact, and presenting ROI to executive stakeholders
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, not required — willingness to learn quickly is essential)
Familiarity with AI safety, governance, and compliance
Comfort working with model APIs, retrieval patterns, and evaluation methods for testing output quality at scale
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
Must be eligible to obtain a Public Trust clearance

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account PhoenixTeam Website LinkedIn All Job Openings 51 - 200 employees Founded 2015 💳 Fintech 🏠 Real Estate 🤖 Artificial Intelligence Fintech
Real Estate
Artificial Intelligence PhoenixTeam is a company specializing in providing innovative solutions and services to the mortgage industry through integration of data analytics and software development. They focus on delivering quality outcomes by leveraging advanced technologies and methodologies to enhance business processes and drive value for clients in both commercial and federal sectors. Their offerings include training programs, advising, coaching, and customized product solutions designed to align with the specific needs of mortgage professionals, ensuring successful implementation and user adoption. AI Value Engineer Job not on LinkedIn 🔥 5 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Artificial Intelligence 👻 Ghost score 11% Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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
Establish current-state baselines for cycle time, cost per transaction, error, and rework rates
Build and defend business cases that size expected impact and underlying assumptions
Measure realized value post-deployment and report outcomes to client executives
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
Capture real-world insights to inform product, content, and go-to-market strategies 🎯 Requirements
3–5 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
Experience building business cases — establishing baselines, sizing impact, and presenting ROI to executive stakeholders
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, not required — willingness to learn quickly is essential)
Familiarity with AI safety, governance, and compliance
Comfort working with model APIs, retrieval patterns, and evaluation methods for testing output quality at scale
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
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