Remote Job (EST) - Senior AI/GenAI Architect / Data Scientist - USA

Remote Job (EST) - Senior AI/GenAI Architect / Data Scientist - USA

Posted 3 days ago by Cynosure Technologies LLC

Negotiable
Undetermined
Remote
Remote

Summary: The Senior AI Architect / Data Scientist role focuses on designing and scaling intelligent, multi-modal AI solutions on Databricks, utilizing GenAI and modern orchestration frameworks. The position requires strong expertise in Databricks and hands-on GenAI integration skills, with a key emphasis on architecting a next-generation intelligence platform for the Global Brand Protection program. The selected candidate will lead technical initiatives and collaborate across teams to enhance AI capabilities. This is a remote position based in the USA (EST).

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.

Key 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.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Senior AI Architect / Data Scientist REMOTE - USA (EST)

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.