Head of AI Intelligence, Commerce

Fynd -
Mumbai, Maharashtra

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Job details

Full-time
2 days ago

Qualifications

BCS
Law
Computer Science
Supply chain
Master's degree
Bachelor's degree
UX
AI
Communication skills

Full job description

EngineeringMumbai, IndiaFULL TIMEPosted 6/11/2026

Role Overview

Build and operationalize Fynd’s AI-native intelligence layer for Autonomous Commerce so that Fynd One/Optimus becomes the default, trusted interface across commerce workflows—driving measurable gains in automation coverage, customer adoption, speed of execution, and commercial outcomes while maintaining strong guardrails, reliability, and human-in-the-loop controls.

Responsibilities

Own the strategy, roadmap, and execution for Fynd’s commerce intelligence and autonomy layer across products and workflows.
Drive the evolution of Fynd One/Optimus into the default interface for commerce operations, reducing friction across merchant and internal user journeys.
Design and scale agentic systems for commerce use cases, including task orchestration, routing, memory, planning, and tool use.
Build production-grade evaluation frameworks for LLM and agent quality, including offline/online evaluation, regression testing, and benchmark design.
Establish guardrails, policy controls, and human-in-the-loop workflows to ensure safe, accurate, and commercially sound autonomous actions.
Lead observability initiatives for AI systems, including tracing, monitoring, failure analysis, drift detection, and incident response.
Partner with product, engineering, data, design, and business teams to identify high-value automation opportunities and convert them into shipped outcomes.
Define and measure the commercial impact of AI initiatives, ensuring autonomous features improve efficiency, conversion, retention, or operational scale.
Mentor and lead a multidisciplinary team spanning AI/ML, platform engineering, evaluation, and product execution.
Create a strong AI-first UX vision that shifts workflows from manual interaction to intent-driven, intelligent, and proactive experiences.
Set technical standards for MLOps, release management, model lifecycle governance, and production readiness for AI-powered commerce systems.
Communicate clearly in writing and lead through high-ownership decision-making in a fast-paced, ambiguous environment.

Qualifications

Required

10+ years of overall experience in engineering, AI/ML, product engineering, or platform leadership roles
Proven experience leading production AI or ML systems in a customer-facing environment
Demonstrated ownership of roadmap, execution, and business impact for complex technical products
Experience with LLMs, RAG, agent orchestration, evaluation, and observability in production settings
Track record of leading cross-functional teams and influencing product, design, and business stakeholders
Strong written communication skills and ability to produce clear technical and strategic documentation
Experience working in fast-moving, high-accountability environments

Preferred

Experience in commerce, retail tech, marketplace, supply chain, or fintech platforms
Experience building autonomous workflows, recommendation systems, or decisioning systems at scale
Exposure to AI-first UX or product paradigm shifts
Experience with model risk management, safety systems, or human-in-the-loop review frameworks
Experience leading teams across ML engineering, backend engineering, and product strategy
Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
Master’s degree or equivalent advanced study in AI/ML, Computer Science, or related discipline
Certifications in cloud, MLOps, AI engineering, or LLM-related technologies are a plus

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Role Overview

Responsibilities

Qualifications

Required

Preferred

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