Sr. Data Scientist – Agentic AI

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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 Overview

The Sr. Data Scientist will lead the design-to-execution delivery ofenterprise-grade GenAI and agentic decisioning PRODUCT, translating approved architectures and workflows into scalable, governed AI solutions. This role bridgesAI architecture, agent orchestration, and analytical execution, ensuring high-quality, production-ready implementations.

Key Responsibilities

1. Agentic AI Solution Delivery

• Lead implementation ofmulti-agent GenAI workflows (planning, reasoning, tool-use, orchestration)
• Translate business questions and workflows intoagent-driven analytical solutions
• Drive execution across use cases such asdecision automation, copilots, and chatbots

2. LLM & GenAI Engineering

• Design and implementLLM-powered pipelines (RAG, prompt orchestration, tool integration)
• Ensurecontrolled, deterministic, and explainable agent behaviour
• Optimize prompts, retrieval strategies, and grounding mechanisms for accuracy

3. Governed & Scalable Implementation

• Enforcedata, logic, and governance standards across agent workflows
• Ensure alignment with approved architecture, semantic layers, and datasets
• Buildproduction-ready, scalable solutions

4. Validation, Observability & Quality

• Define and executeevaluation frameworks (accuracy, consistency, hallucination control)
• Establishobservability for agent workflows (traceability, logs, reproducibility)
• Triage issues across model behaviour, data quality, and workflow design

5. Collaboration & Solution Ownership

• Partner with AI Architects onagentic system design and governance
• Work with Data Engineering ondata readiness and integration (RAG pipelines, feature layers)
• Act as asolution partner to clients, driving discussions, alignment, and adoption

6. Delivery Leadership

• Lead and mentor Data Scientists acrossGenAI and agentic implementations
• Ensurepredictable delivery, code quality, and review standards
• Support pilots, production rollout, and handover

Mandatory Skills & Experience

• Strong experience inGenAI, LLMs, and agentic architectures (multi-agent systems)
• Hands-on expertise inRAG, prompt engineering, and LLM orchestration frameworks
• Experience buildingenterprise-scale AI applications (chatbots, copilots, automation agents)
• Solid grounding indata modelling, SQL, and analytical workflows
• Experience withevaluation frameworks, observability, and responsible AI practices
• Proven ability to act as aclient-facing role

Success Measures

• Robust, scalableagentic AI solutions delivered on time
• Highaccuracy, explainability, and controlled LLM behaviour
• Strongobservability and evaluation coverage with minimal rework
• Well-coordinated, high-performing delivery team

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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