AI Platform Engineer

This is a remote position.

Role Overview

We are looking for an AI Platform Engineer with strong experience in Azure and Snowflake to design, implement, and govern our next-generation AI capabilities.

You will be responsible for enabling and operating Model Context Protocol (MCP) servers, establishing robust data and access controls, and working with multiple stakeholders to connect AI clients and agents in a secure, compliant manner.

This role sits at the intersection of cloud infrastructure, data platforms, and AI enablement, and will be a key contributor to our enterprise AI strategy.

Key Responsibilities

1. AI Enablement in Azure & Snowflake Design, deploy, and maintain MCP servers in Azure and Snowflake-based environments to support AI agents and developer workflows. Implement and manage data access patterns and governance controls to ensure AI systems only access permitted data (e. g.

, role-based access control, data masking, tokenization, and row-level security). Integrate AI capabilities with existing data pipelines, data warehouses, and lakehouse architectures in Azure and Snowflake. Collaborate with data engineering teams to ensure data quality, lineage, and observability for AI use cases. 2.

Connectivity & Integration with AI Clients and Agents Work closely with application teams, data teams, and security teams to establish secure connectivity between AI clients, AI agents, and backend data/services.

Define and implement APIs, connectors, and integration patterns between AI agents and enterprise systems, including identity and access management (IAM).

Partner with InfoSec / Cybersecurity to ensure that AI agent connectivity adheres to organizational security standards, including network segmentation, authentication, and authorization. Troubleshoot and optimize connectivity issues between AI clients/agents and Azure, Snowflake, and other downstream systems. 3.

Governance, Compliance, and Best Practices Establish guardrails for AI usage, including data classi