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!
Hiring Related QueriesIndia: [email protected]
Outside India: [email protected]
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Skills Required
- Strong experience in GenAI, LLMs, and agentic architectures
- Expertise in RAG, prompt engineering, and LLM orchestration frameworks
- Experience building enterprise-scale AI applications
- Solid grounding in data modeling, SQL, and analytical workflows
- Experience with evaluation frameworks, observability, and responsible AI practices
- Proven ability to act in a client-facing role
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
