Hiring: Senior AI Data Architect

Location: Remote
Experience: Senior / Principal Level
Domain: Healthcare
Work Focus: 60% AI Architecture & Advisory | 40% Hands-on Data Engineering

We are seeking an experienced Senior AI Data Architect with strong expertise in Healthcare, AI/ML, Generative AI, LLMs, MCP, RAG, and enterprise-scale data engineering.

The ideal candidate will have recent healthcare domain experience and a proven track record of designing and implementing modern AI-powered data platforms. We are particularly interested in professionals who have evolved beyond traditional ETL and Data Warehousing into enterprise AI architecture and production-grade GenAI solutions.

Key Responsibilities

• Design and architect scalable enterprise AI/ML data platforms.
• Provide AI architecture guidance and technical advisory.
• Architect and implement LLM and Generative AI solutions.
• Design and implement Model Context Protocol (MCP) servers and integrations.
• Build enterprise-grade Retrieval-Augmented Generation (RAG) solutions.
• Design and optimize data pipelines for structured and unstructured data.
• Implement vector databases, embeddings, semantic search, and data retrieval solutions.
• Develop ML classification systems and machine learning workflows.
• Build and optimize production-scale data engineering solutions.
• Ensure data security, governance, scalability, and performance within healthcare environments.

Required Technical Skills

• AI/ML Data Platform Architecture
• Large Language Models (LLMs) and Generative AI
• Model Context Protocol (MCP) – Design & Implementation
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, FAISS, Weaviate, pgvector, etc.)
• Python and AI/ML Frameworks
• Data Pipeline Design and Optimization
• Data Storage, Retrieval, and Semantic Search
• ML Classification Systems and Workflows
• Production-Scale Data Engineering
• Cloud Platforms: AWS, Azure, or Google Cloud Platform

Preferred Background

• Data Architect
• Principal Data Engineer
• AI Platform Engineer
• Generative AI Architect
• Enterprise AI Solutions Architect

Ideal Candidate

• Current or recent Healthcare domain experience.
• Strong hands-on experience in AI/ML and Generative AI.
• Practical implementation experience with LLMs, RAG, and MCP.
• Experience building modern, scalable AI data platforms.
• Strong Python, cloud, and data engineering expertise.
• Ability to balance strategic architecture and hands-on development.

Important: This position is not focused on traditional ETL/Data Warehousing alone. We are looking for candidates with recent, practical experience in modern AI architecture and production-grade GenAI implementations.