VP, AI Innovation
$150,000–$250,000 year
On-siteNew York, United States
Job Summary
Embed directly with business desks to learn existing workflows, tools, and pain points firsthand, then run structured discovery sessions to surface high-friction processes suited for AI-enabled redesign. Distinguish opportunities for genuine workflow redesign from simple automation requests, and design target-state processes that combine automation, augmentation, and human judgment. Build working prototypes with desk teams, iterating quickly based on real usage, and transition validated solutions into governed, production-ready capabilities. Contribute reusable skills and workflow patterns to the firm-wide Claude skills catalog while driving change management and training to ensure sustained adoption. Partner with legal, compliance, risk, and security teams on governance considerations, communicating solution tradeoffs to senior stakeholders in clear, practical language.
Required Qualifications
- 7+ years of experience in technology, product, or process/workflow transformation roles, including hands-on experience building with AI/ML or LLM-based tools
- Background working in financial services, ideally within asset-based finance, structured credit, or an adjacent lending/capital markets business
- Demonstrated experience as a forward deployed engineer, solutions engineer, or similar embedded technical role working directly with business stakeholders
- Strong process and workflow design skills. Ability to map a current-state process, question its assumptions, and design a genuinely redesigned target state rather than a like-for-like automation
- Working knowledge of modern AI technologies, including LLMs, prompt engineering, and agent/skill-based frameworks
- Hands-on experience building with RAG (retrieval-augmented generation) architectures and agentic frameworks (e.g., LangChain, LangGraph, or similar), including vector stores, tool/function calling, and multi-step agent orchestration
- Experience partnering with non-technical business stakeholders to translate ambiguous problems into scoped, buildable AI solutions
- Excellent communication and relationship-building skills, with the credibility to work directly with desk and operations leads
- Comfort operating with significant autonomy in a fast-paced, high-growth environment
- Ability to travel to or spend regular time with desk teams as needed to maintain close engagement
Desired Qualifications
- Experience with asset classes such as CRE, residential, auto/equipment, transportation, energy, infrastructure, or fund finance
- Experience contributing to or building an internal tools/skills catalog or reusable component library
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