Need - Senior AI Architect / Data Scientist REMOTE - 15+

Hi, The Following Requirement are given below

Role:

Senior AI Architect /

Data Scientist Location:

REMOTE - USA

Exp:

15+ 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.

Details:

The role demands strong Databricks expertise, GenAI integration skills( hands on) and architect ure-level design thinking. The selected candidate will play a key role in architect ing 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 architect ure 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 architect ures 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:

Architect ure design, stakeholder alignment, communication. Preferred Profile 8+ years in AI /ML or Data Science, 3+ years on Databricks. Proven experience with LLM-driven architect ures (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.