Lead Data Scientist (Gen AI)

Blend is hiring a Lead Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization.

Key Responsibilitie

• s
  Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflow
• s.Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalo
• g.Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logi
• c.Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logi
• c.Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM need
• s.Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream system
• s.Contribute to modular system design and documentation for long-term scalability and maintainabilit

y.
Qualificati

• ons
  Bachelor’s/Master’s in Computer Science, Artificial Intelligence, or related fi
• eld.7+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applicati
• ons.Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workfl
• ows.Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databri
• cks.Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIn
• dex.Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrie
• val.Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challen
• ges.Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tool

ing.
Preferred S

• kills
  Knowledge of agentic AI architectures and multi-agent orchestr
• ation.Familiarity with Azure Data Hub and enterprise data ingestion frame
• works.Understanding of data governance, lineage, and regulatory compliance in AI sy

stems.
Thrive & Grow w

• ith Us:
  Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to th
• e table.Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your
• career.Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the
• future.Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your
• skills.Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas
• flowing.Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward
• program.Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifi