AI Value Engineer

Domain / Industry: Fintech / Mortgage / Financial Services

Job Overview: We are looking for an AI Value Engineer to bridge the gap between business strategy and cutting-edge Generative AI solutions. In this role, you will work closely with enterprise business leaders, product teams, and technical engineers to identify high-impact AI opportunities, quantify business value, and build rapid Proof of Concepts (POCs).The ideal candidate brings a blend of strategy consulting acumen, business enablement skills, and hands-on expertise in GenAI workflows and advanced prompt engineering, with a strong background in FinTech or Mortgage ecosystems.

Key Responsibilities: Business Value Assessment & Discovery: Lead client discovery sessions, stakeholder interviews, and scoping workshops to identify pain points, assess operational friction, and map out AI-driven transformation opportunities. GenAI Workflow & POC Development: Design, test, and build hands-on Proof of Concepts (POCs) and prototypes utilizing Generative AI models, agentic workflows, and document intelligence. Prompt Engineering & Optimization: Architect, test, and refine advanced prompt strategies (few-shot prompting, system role orchestration, context grounding, output structuring) to ensure high-accuracy enterprise outputs. ROI Modeling & Business Case Formulation: Quantify the impact of proposed AI solutions, building credible business cases encompassing ROI, operational efficiency gains, cycle time reduction, cost savings, and risk-adjusted payback models. Enablement & Workshops: Facilitate AI ideation workshops and executive presentations to educate non-technical business partners on GenAI art-of-the-possible, adoption roadmaps, and value realization. Cross-Functional Execution: Collaborate with ML engineers, data science teams, and software developers to transition successful POCs into scalable, production-ready enterprise solutions.

Experience: 3 to 8 years of professional experience across Strategy Consulting, Business Transformation, Value Engineering, Innovation, or Solutions Enablement. GenAI & Prototyping: Hands-on experience working directly with Generative AI tools/LLMs (OpenAI, Anthropic, Gemini, open-source models) to design agentic workflows, prototypes, or end-to-end POCs. Prompt Engineering: Demonstrated expertise in advanced prompt engineering techniques, prompt template libraries, and output evaluation. Value Modeling: Strong capability to formulate business cases, financial models, ROI analyses, and measurable KPI frameworks for tech initiatives. Client & Workshop Facilitation: Outstanding verbal, written, and consultative presentation skills, with proven ability to lead workshops and align senior stakeholders.

Education: Bachelor’s or Master’s degree in Business Administration, Computer Science, Engineering, Finance, or a related field.

Preferred Qualifications: Prior domain experience in Mortgage, Lending, Banking, or FinTech operations (e.g., loan origination, document verification, underwriting workflows, regulatory compliance).Familiarity with Retrieval-Augmented Generation (RAG) frameworks, vector search, or no-code/low-code AI workflow orchestrators (e.g., LangChain, LlamaIndex, Flowise, Make, Zapier).