Senior AI Architect / Data Scientist
Role summary
DS Technologies Inc. is seeking a Senior AI Architect / Data Scientist for a contract role on-site in Raritan/New Brunswick, NJ. The position focuses on designing and scaling multi-modal AI solutions using the Databricks platform, with an emphasis on Generative AI (GenAI) and modern orchestration frameworks. The role involves architecting end-to-end AI pipelines, integrating GenAI platforms, implementing MLOps, and building multi-agent architectures for the Global Brand Protection program. Key responsibilities include technical leadership, ensuring security and governance, and collaborating with UI teams. Core skills include Databricks expertise, GenAI tools, machine learning, computer vision, data engineering, and governance.
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 rolefor one of our premier clients.
Job Title: Senior AI Architect / Data Scientist
Location: Raritan / New Brunswick, NJ, USA (Onsite)
Position Type: Contract
Only W2
Overview:
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 handling
- Sales Anomaly Detection: Isolation Forest–based anomaly detection on sales data
- Counterfeit Image Detection: Vision Transformer (ViT)–based image authenticity classification
Key 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
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 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
Preferred Profile:
- 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