VP - Product and Engineering (AI) (10-20 yrs)

Location : Ahmedabad/GIFT City, India

Mandate :

Owner & Architect of the Transformation Journey. You will give life to the vision of evolving a global service leader into an AI-native platform ecosystem, conceptualizing a "System of Intelligence" that decouples revenue growth from linear headcount.

I. The Mission: 0-to-1 Product Orchestration

- As a Thinker-Executor, you own the transition from manual service delivery to an intelligent product substrate.

- Platform 0-to-1: Lead the conceptualization and delivery of a scalable platform that turns decades of domain expertise into a high-margin digital asset.

- Commercial DNA: Design product differentiators through intelligent bundling, pricing models, and loyalty drivers that maximize Lifetime Value (LTV) and ecosystem coverage.

- Decoupling Growth: Eliminate the "Wait Time Paradox" by architecting workflows where AI handles transactional logic, moving the workforce into strategic advisory roles.

II. Technical Pillars: Intelligence & Automation

1. Decision Intelligence & Knowledge Base

- Intelligence Arbitrage: Architect the transition to Decision Intelligence, where probabilistic models handle numerical reconciliation and compliance with zero-error tolerance.

- Knowledge Vault & Query Engine: Build a structured "Rule Repository" (codifying unstructured ground-truth data) and an LLM/SLM-based Query Engine to automatically resolve tactical friction.

- Practice & Customer DNA: Use Knowledge Graphs to standardize global compliance while tracking customer service penetration to drive cross-sell/up-sell opportunities.

2. Orchestration & RPA

- System of Agents: Coordinate a multi-agent layer for internal delivery (Back-end) and client acquisition (Front-end).

- RPA Synergy: Strategically leverage the existing UiPath landscape as a bridge between modern AI-native systems and legacy accounting portals.

III. Requirement Matrix

The "Must-Haves"

- 0-to-1 Track Record: Proven success taking a complex product from a blank canvas to market scale.

- Product Mindset & Management: Proven 0-to-1 track record of conceptualizing and delivering high-margin platform assets by codifying complex domain expertise into scalable product ecosystems.

- Engineering Depth: 10+ years total experience; 8+ years leading teams of 50+. You must have the depth to distinguish technical "noise" from reliable "knows."

- AI/ML in Production: Direct experience deploying Agentic Workflows, RAG pipelines, or LLM/SLMs for high-stakes financial data.

- RPA Proficiency: Strategic and tactical exposure to UiPath or similar automation tools.

- Education: B.E./B.Tech or M.S. from a top-tier institution (IIT/NIT/BITS or equivalent).

The "Nice-to-Haves"

- Fintech/SaaS Pedigree: Experience in business/knowledge process outsourcing and operationally complex customer centric environments where accuracy is paramount.

- ERP: Familiarity with modern ERPs (e.g., Zoho, ERPNext) for internal/corporate team usage.

IV. Soft Skills:

- Strategic Clarity: Distills complex technical problems into clear, actionable roadmaps.

- Collaborative Stewardship: High empathy for domain experts; ability to "download" their judgment into code without friction.

- Ownership Mindset: Sees "Human Glue" (manual data movement) as an architectural flaw to be eliminated.

- Resilience: Maintains momentum and a positive team culture through the ambiguity of a 0-to-1 journey.

- Decisiveness in Ambiguity: Ability to take calls while working with incomplete information.