Data Scientist Sr. Data Scientist – GenAI & Agentic Systems

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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 Indias 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 of enterprise-grade GenAI and agentic decisioning PRODUCT translating approved architectures and workflows into scalable governed AI solutions. This role bridges AI architecture agent orchestration and analytical execution ensuring high-quality production-ready implementations.

Key Responsibilities

1. Agentic AI Solution Delivery

• Lead implementation of multi-agent GenAI workflows (planning reasoning tool-use orchestration)

• Translate business questions and workflows into agent-driven analytical solutions

• Drive execution across use cases such as decision automation copilots and chatbots

2. LLM & GenAI Engineering

• Design and implement LLM-powered pipelines (RAG prompt orchestration tool integration)

• Ensure controlled deterministic and explainable agent behaviour

• Optimize prompts retrieval strategies and grounding mechanisms for accuracy

3. Governed & Scalable Implementation

• Enforce data logic and governance standards across agent workflows

• Ensure alignment with approved architecture semantic layers and datasets

• Build production-ready scalable solutions

4. Validation Observability & Quality

• Define and execute evaluation frameworks (accuracy consistency hallucination control)

• Establish observability for agent workflows (traceability logs reproducibility)

• Triage issues across model behaviour data quality and workflow design

5. Collaboration & Solution Ownership

• Partner with AI Architects on agentic system design and governance

• Work with Data Engineering on data readiness and integration (RAG pipelines feature layers)

• Act as a solution partner to clients driving discussions alignment and adoption

6. Delivery Leadership

• Lead and mentor Data Scientists across GenAI and agentic implementations

• Ensure predictable delivery code quality and review standards

• Support pilots production rollout and handover

Mandatory Skills & Experience

• Strong experience in GenAI LLMs and agentic architectures (multi-agent systems)

• Hands-on expertise in RAG prompt engineering and LLM orchestration frameworks

• Experience building enterprise-scale AI applications (chatbots copilots automation agents)

• Solid grounding in data modelling SQL and analytical workflows

• Experience with evaluation frameworks observability and responsible AI practices

• Proven ability to act as a client-facing role

Success Measures

• Robust scalable agentic AI solutions delivered on time

• High accuracy explainability and controlled LLM behaviour

• Strong observability and evaluation coverage with minimal rework

• Well-coordinated high-performing delivery team

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

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