Senior Data Scientist GenAI & Agentic Systems

Role OverviewThe Sr. Data Scientist will lead the design-to-execution delivery of enterprisegrade 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 highquality, productionready implementations. Key ResponsibilitiesAgentic AI Solution Delivery: Lead implementation of multiagent GenAI workflows (planning, reasoning, tooluse, orchestration). Translate business questions and workflows into agentdriven analytical solutions and drive execution across use cases such as decision automation, copilots, and chatbots.LLM & GenAI Engineering: Design and implement LLMpowered pipelines (RAG, prompt orchestration, tool integration). Ensure controlled, deterministic, and explainable agent behavior and optimize prompts, retrieval strategies, and grounding mechanisms for accuracy.Governed & Scalable Implementation: Enforce data, logic, and governance standards across agent workflows, ensure alignment with approved architecture, semantic layers, and datasets, and build productionready, scalable solutions.Validation, Observability & Quality: Define and execute evaluation frameworks (accuracy, consistency, hallucination control). Establish observability for agent workflows (traceability, logs, reproducibility) and triage issues across model behavior, data quality, and workflow design.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), and act as a solution partner to clients, driving discussions, alignment, and adoption.Delivery Leadership: Lead and mentor Data Scientists across GenAI and agentic implementations, ensure predictable delivery, code quality, and review standards, and support pilots, production rollout, and handover.Mandatory Skills & ExperienceStrong experience in GenAI, LLMs, and agentic architectures (multiagent systems).Handson expertise in RAG, prompt engineering, and LLM orchestration frameworks.Experience building enterprisescale 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 clientfacing role.Success MeasuresRobust, scalable agentic AI solutions delivered on time.High accuracy, explainability, and controlled LLM behaviour.Strong observability and evaluation coverage with minimal rework.Wellcoordinated, highperforming delivery team.Additional InformationAll applications must be made through posted job openings. .