Principal AI Architect

About Impact Analytics Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made. What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000. For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co. The impact that you will be making: ● Core AI/ML Skills Advanced machine learning and deep learning architecture Time-series and foundational forecasting models Demand forecasting, inventory forecasting, and retail planning models Model evaluation, benchmarking, drift detection, and monitoring Scalable ML system design and MLOps ● Retail AI Domain Skills Retail demand planning, assortment, pricing, promotions, and inventory optimization Domain adaptation for retail-specific AI use cases Understanding of retail data: POS, inventory, promotions, pricing, loyalty, supply chain Forecast explainability and business-impact measurement ● LLM / GenAI Skills LLM fine-tuning and domain adaptation Supervised Fine-Tuning, SFT RLHF / RLAIF workflows Prompt engineering and prompt evaluation Retrieval-Augmented Generation, RAG Agentic AI architecture Guardrails, hallucination reduction, and LLM safety ● Architecture Skills End-to-end AI platform architecture Cloud-native AI systems on AWS, Azure, or GCP Distributed training and inference optimization Vector databases and semantic search Model serving, latency optimization, and cost optimization Data lakehouse / feature store architecture ● Leadership Skills AI strategy and roadmap ownership Technical leadership for senior ML engineers and data scientists Cross-functional collaboration with product, engineering, and business teams Executive communication and solution storytelling Architecture governance and best-practice definition Preferred Tools / Technologies Python, PyTorch, TensorFlow Hugging Face, LangChain, LlamaIndex MLflow, Kubeflow, Airflow Databricks, Snowflake, Spark Kubernetes, Docker OpenAI, Anthropic, Gemini, open-source LLMs Vector DBs: Pinecone, Weaviate, FAISS, Milvus What lands you in this role 12+ years in AI/ML, data science, or enterprise architecture and 5+ years architecting production ML systems. Hands-on experience with forecasting and GenAI/LLM systems. Retail, CPG, supply chain, or commerce domain experience. Proven record of taking AI products from prototype to production.

What We Offer Opportunity to lead large, high-impact projects for global Fortune 500 clients. Work in a high-growth startup environment with a flat, collegial culture. Best-in-class remuneration and benefits. A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include: Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024. Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024. Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report. Ranked #72 in America’s Most Innovative Companies list in 2023 —by Fortune —alongside companies like Microsoft, Tesla, Apple, IBM, etc. Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools. Recognized in multiple Gartner reports , including Market Guides and Hype Cycle , spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.