Job Details

Senior AI Architect / Data Scientist - REMOTE - USA

We are seeking an Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi-modal Al solutions on Databricks using GenAI and modern orchestration frameworks.
Please share the profiles by the end of this year(12/31) and these profiles will be reviewed in Jan 2026. Below are high level details of this role.

Details:
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 Al systems.
Familiarity with A2A protocols and Databricks Mosaic AI/Genie.
Experience deploying MCP Server to orchestrate multi-agent GenAI tool access.