Principal Data Scientist – Generative AI & Agentic Systems

About the role

We are seeking a hands‑on Principal Data Scientist to lead the design and delivery of advanced Generative AI and agentic systems. The role combines deep technical work with leadership, ensuring AI solutions move from prototype to production while delivering measurable business value.

Key responsibilities

• Design and build complex agentic Retrieval‑Augmented Generation (RAG) systems, multi‑step AI workflows and LLM‑powered applications.
• Own end‑to‑end AI solution delivery, from experimentation and architecture through production deployment, monitoring and continuous improvement.
• Write and review production‑grade Python code, enforce technical standards and engineering best practices.
• Evaluate emerging models, frameworks, vector databases and orchestration tools, and integrate them into robust pipelines.

Required profile

• 8+ years of experience in Data Science, Machine Learning or AI Engineering.
• Proven track record of translating AI capabilities into measurable commercial outcomes.
• Demonstrated technical leadership and ownership of complex solution domains.

Required skills

• Strong hands‑on Python programming.
• Deep practical knowledge of LLMs, retrieval, embeddings, vector databases and agent orchestration.
• Experience with APIs, testing, version control, CI/CD and production‑grade code.
• Familiarity with MLOps practices and cloud‑native AI deployment (e.g., Azure).