Sr. Data Scientist – Agentic AI

About this role

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Skills you'll use

What you'll do

• 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

Who can apply

• 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

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