Senior AI Architect / Data Scientist - Remote Job

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Artificial Intelligence
Apache Spark
Collaboration
Communication
Data Engineering
Data Science
Databricks
Generative Artificial Intelligence (AI)
IT Management
LangChain
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
Microsoft Azure
Microsoft Certified Professional
Optical Character Recognition
Python
RBAC
React.js
Regulatory Compliance
SQL
Soft Skills
UI
Unity
Warehouse
Web Applications

Job Details

Senior AI Architect / Data Scientist REMOTE - USA

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.

Preferred Profile

8+ years in AI/ML or Data Science, 3+ years on Databricks.

Proven experience with LLM-driven architectures (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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.