Senior AI Architect / Data Scientist

DS Technologies Inc • New Brunswick, NJ

168d • Onsite

About The Position

DS Technologies Inc is looking for Senior AI Architect / Data Scientist role for one of our premier clients. We are seeking an Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi-modal AI solutions on the Databricks platform, leveraging Generative AI (GenAI) and modern orchestration frameworks. The role requires strong hands-on Databricks expertise, GenAI integration skills, and architecture-level design thinking. The selected candidate will play a critical role in architecting and expanding next-generation intelligence solutions across multiple use cases under the Global Brand Protection program.

Requirements

• Databricks Platform: SQL Warehouse, Unity Catalog, MLflow, Model Serving, OCR
• GenAI Tools: Mosaic AI, Genie, Azure OpenAI, LangChain, Vector Search, MCP Server for tool orchestration and context management
• Machine Learning: Isolation Forest, PSI/KSI drift detection, model retraining
• Computer Vision: Vision Transformers (ViT), Grad-CAM, explainability techniques
• Data Engineering: Apache Spark, Python, Delta Lake, REST APIs
• Governance & Security: RBAC, data lineage, masking, compliance policies
• Soft Skills: Architecture design, stakeholder alignment, strong communication

Nice To Haves

• 8+ years of experience in AI/ML or Data Science
• 3+ years of hands-on experience with Databricks
• Proven experience with LLM-driven architectures (RAG, NL-to-SQL)
• Strong ability to design scalable, multi-modal, 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

Responsibilities

• Provide technical leadership across AI architecture, model integration, and solution delivery
• Architect end-to-end AI pipelines using Databricks (Delta Lake, Unity Catalog, MLflow, Model Serving)
• Integrate GenAI platforms (Mosaic AI, Genie, Azure OpenAI) and orchestrate them via an MCP Server for NL-to-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 using Unity Catalog
• Collaborate with UI (React) teams to integrate model outputs into Databricks web applications
• Lead feedback-driven model improvements and mentor cross-functional teams

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed