Senior AI Architect / Data Scientist

Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi-modal AI solutions on Databricks using GenAI and modern orchestration frameworks. The role demands strong Databricks expertise, GenAI integration skills( hands on ) and architecture-level design thinking. The selected candidate will play a key role in architecting and expanding our next-generation intelligence platform across multiple use cases under the Global Brand Protection program. Core Use Cases • Columbo: Natural Language to SQL search over Databricks data, including fuzzy matching and unstructured text handling. • Sales Anomaly Detection: Isolation-Forest-based anomaly detection on sales data. • Counterfeit Image Detection: ViT-based image authenticity classification. Key Responsibilities • Provide technical leadership across AI architecture, model integration, and delivery. • Architect end-to-end AI pipelines using Databricks (Delta, Unity Catalog, MLflow, Model Serving). • Integrate GenAI platforms (Mosaic AI, Genie, Azure OpenAI) and orchestrate them via an MCP server for NL→SQL and conversational intelligence. • Implement governed, cost-optimized MLOps pipelines with retraining, lineage, and observability. • Build multi-agent architectures combining text, tabular, and image models. • Enforce role-based security and governance through Unity Catalog. • Collaborate with UI (React) teams to integrate model outputs in Databricks web apps. • Lead feedback-driven model improvements and cross-functional mentoring. Core Skills • Databricks Platform: SQL Warehouse, Unity Catalog, MLflow, Model Serving, OCR. • GenAI Tools: Mosaic AI, Genie, Azure OpenAI, LangChain, Vector Search, MCP Server for orchestrating AI tools and context. • ML Techniques: Isolation Forest, PSI/KSI drift detection, model retraining. • Vision Models: ViT, Grad-CAM, explainability methods. • Data Engineering: Spark, Python, Delta Lake, REST APIs. • Governance & Security: RBAC, lineage, masking, compliance policies. • Soft Skills: Architecture design, stakeholder alignment, communication. Preferred Profile • 8+ years in AI/ML or Data Science, 3+ years on Databricks. • Proven experience with LLM-driven architectures (RAG, NL→SQL). • Ability to design multi-modal, scalable, and cost-efficient AI systems. • Familiarity with A2A protocols and Databricks Mosaic AI/Genie. • Experience deploying MCP Server to orchestrate multi-agent GenAI tool access.

Created: 2026-03-10