Sr. Data Scientist – Agentic AI

Fractal Analytics; Bengaluru; On-site; INR 3,000,000 - 8,000,000; Full time

Job summary

Fractal Analytics in Bengaluru is seeking a Sr. Data Scientist to lead end-to-end GenAI and agentic decisioning product delivery. You will translate architectures into scalable, governed AI solutions across enterprise use cases.

Role requires hands-on design of LLM-powered pipelines, prompt orchestration, and tool integration, with a focus on accuracy, explainability, and observability. You will mentor data scientists and collaborate with AI architects and data engineers.

Qualifications

• 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.

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

Skills

GenAI

LLMs

agentic architectures

RAG

prompt engineering

LLM orchestration

enterprise AI

data modelling

SQL

observability

client-facing

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. 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 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, you'll enjoy your career with us!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end‑to‑end data‑to‑decision journey.