Sr. Data Scientist – Agentic AI
About the role
Brief about the Team & Fractal
Role Overview
enterprise-grade GenAI and agentic decisioning PRODUCT
AI architecture, agent orchestration, and analytical execution
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
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
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
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
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!
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Not included in the source posting: benefits.
Skills
Who can apply
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