Director of Artificial Intelligence

About IDfyIDfy is Asia's leading TrustStack, making compliance easy, fraud detection smarter, and onboarding seamless. Trusted by global leaders like HDFC Bank, Zomato, Amazon, PhonePe, Paytm, and HUL, we handle over 2 million verifications per day. Our platforms — OnboardIQ (frictionless onboarding), OneRisk (proactive fraud and risk management), and Privy (data governance/DPDPA compliance) — form one seamless solution enabling trust.We at IDfy are looking for an AI Lead / Principal Engineer to drive the end-to-end development of advanced AI systems—turning cutting-edge research into scalable, real-world production solutions. This role is ideal for someone who thrives at the intersection of deep mathematical thinking, hard problem-solving, and large-scale engineering.What You’ll Do -Problem → Data → Solution Leadership- Frame ambiguous, complex business problems into mathematically well-defined AI problems. - Design data strategies aligned to the problem structure, and drive full lifecycle ownership.Research → Production → Scale- Translate research papers into reliable, high-performance production systems. - Reproduce results, simplify architectures, and scale models for real-world constraints (latency, cost, throughput).LLM & GenAI Expertise- Build and fine-tune LLMs; design RAG pipelines grounded in embedding geometry, retrieval statistics, and transformer internals. - Own model selection using quantitative tradeoffs—not guesswork.Full-Stack Production AI- Lead data pipelines, training, evaluation, deployment, monitoring, and continuous improvement. - Build scalable APIs and services that expose AI capabilities safely and reliably.Performance, Optimization & Scale- Optimize models and systems for distributed training, inference efficiency, numerical stability, and high-throughput production workloads.Engineering & Technical Leadership- Mentor engineers on math-driven problem solving, ML systems design, experiment rigor, and best practices.What You Bring -- 10–15 years leading AI initiatives with strong foundations in math (probability, statistics, optimization, linear algebra). - Proven ability to solve complex AI/ML problems across NLP, Computer Vision, and GenAI. - Deep LLM production experience: fine-tuning, RAG, embedding systems, model evaluation, and at least two LLM products shipped. - 6+ years building and operating large-scale AI systems (distributed training, real-time inference, monitoring, drift detection).This is your big break to work on systems that define digital trust across Asia.

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