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 robust 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
- Solid 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

📌 Head of AI Intelligence, Commerce (Mumbai)
🏢 Fynd
📍 Mumbai