Brief about the Team & Fractal: Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Fortune 500 companies recognize analytics as a competitive advantage to understand customers and make better decisions. We deliver insight, innovation, and impact to them by leveraging Big Data, analytics and technology and help them drive smarter, faster, and more accurate decisions in every aspect of their business. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2019 by Forrester Research, and recognized as an Honorable Vendor in 2019 magic quadrant for data & analytics by Gartner. Role Overvie wThe Sr. Data Scientist will lead the design-to-execution delivery of enterprise-grade GenAI and agentic decisioning PRODUC T, translating approved architectures and workflows into scalable, governed AI solutions. This role bridges AI architecture, agent orchestration, and analytical executio n, ensuring high-quality, production-ready implementations .Key Responsibilitie s1. Agentic AI Solution Deliver yLead implementation of multi-agent GenAI workflow s (planning, reasoning, tool-use, orchestration )Translate business questions and workflows into agent-driven analytical solution sDrive execution across use cases such as decision automation, copilots, and chatbot s2. LLM & GenAI Engineerin gDesign and implement LLM-powered pipeline s (RAG, prompt orchestration, tool integration )Ensure controlled, deterministic, and explainable agent behaviou rOptimize prompts, retrieval strategies, and grounding mechanisms for accurac y3. Governed & Scalable Implementatio nEnforce data, logic, and governance standard s across agent workflow sEnsure alignment with approved architecture, semantic layers, and dataset sBuild production-ready, scalable solution s4. Validation, Observability & Qualit yDefine and execute evaluation framework s (accuracy, consistency, hallucination control )Establish observability for agent workflow s (traceability, logs, reproducibility )Triage issues across model behaviour, data quality, and workflow desig n5. Collaboration & Solution Ownershi pPartner with AI Architects on agentic system design and governanc eWork with Data Engineering on data readiness and integratio n (RAG pipelines, feature layers )Act as a solution partner to client s, driving discussions, alignment, and adoptio n6. Delivery Leadershi pLead and mentor Data Scientists across GenAI and agentic implementation sEnsure predictable delivery, code quality, and review standard sSupport pilots, production rollout, and handove rMandatory Skills & Experienc eStrong experience in GenAI, LLMs, and agentic architectures (multi-agent systems )Hands-on expertise in RAG, prompt engineering, and LLM orchestration framework sExperience building enterprise-scale AI applications (chatbots, copilots, automation agents )Solid grounding in data modelling, SQL, and analytical workflow sExperience with evaluation frameworks, observability, and responsible AI practice sProven ability to act as a client-facing rol eSuccess Measure sRobust, scalable agentic AI solutions delivered on tim eHigh accuracy, explainability, and controlled LLM behaviou rStrong observability and evaluation coverag e with minimal rewor kWell-coordinated, high-performing delivery tea m