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.