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Senior AI Architect Data Scientist

DS Technologies - New Brunswick, NJ

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Job Description

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.DS Technologies Inc is looking for Senior AI Architect / Data Scientist role for one of our premier clients.Job Title: Senior AI Architect / Data ScientistLocation: Raritan / New Brunswick, NJ, USA (Onsite)Position Type: Contract Only W2Overview: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.Core Use Cases:Columbo: Natural Language to SQL search over Databricks data, including fuzzy matching and unstructured text handlingSales Anomaly Detection: Isolation Forest–based anomaly detection on sales dataCounterfeit Image Detection: Vision Transformer (ViT)–based image authenticity classificationKey Responsibilities:Provide technical leadership across AI architecture, model integration, and solution deliveryArchitect 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 intelligenceImplement governed, cost-optimized MLOps pipelines with retraining, lineage, and observabilityBuild multi-agent architectures combining text, tabular, and image modelsEnforce role-based security and governance using Unity CatalogCollaborate with UI (React) teams to integrate model outputs into Databricks web applicationsLead feedback-driven model improvements and mentor cross-functional teamsCore Skills:Databricks Platform: SQL Warehouse, Unity Catalog, MLflow, Model Serving, OCRGenAI Tools: Mosaic AI, Genie, Azure OpenAI, LangChain, Vector Search, MCP Server for tool orchestration and context managementMachine Learning: Isolation Forest, PSI/KSI drift detection, model retrainingComputer Vision: Vision Transformers (ViT), Grad-CAM, explainability techniquesData Engineering: Apache Spark, Python, Delta Lake, REST APIsGovernance & Security: RBAC, data lineage, masking, compliance policiesSoft Skills: Architecture design, stakeholder alignment, strong communicationPreferred Profile:8+ years of experience in AI/ML or Data Science3+ years of hands-on experience with DatabricksProven experience with LLM-driven architectures (RAG, NL-to-SQL)Strong ability to design scalable, multi-modal, and cost-efficient AI systemsFamiliarity with A2A protocols and Databricks Mosaic AI / GenieExperience deploying MCP Server to orchestrate multi-agent GenAI tool access

Created: 2026-03-10

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