AI Platform Engineer
RemoteUnited States
Job Summary
Design, deploy, and maintain Model Context Protocol (MCP) servers in Azure and Snowflake environments to support AI agents and developer workflows. Implement data access patterns, role-based access control, and data masking to ensure secure connectivity between AI clients and enterprise systems. Collaborate with data engineering, application, and security teams to integrate AI capabilities with existing pipelines, warehouses, and lakehouse architectures. Establish guardrails for AI usage, document standards, and support audits regarding data flows and access controls. Configure MCP servers for Microsoft 365 and Azure resources to enable agent access to enterprise content under strict governance policies.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- Solid hands-on experience with Microsoft Azure (e.g., Azure Data services, networking, security, identity)
- Practical experience with Snowflake (data modeling, security, roles, governance, integrations)
- Proven experience enabling or integrating AI/ML systems with enterprise data platforms (e.g., LLMs, AI agents, or similar architectures)
- Strong understanding of access control, security, and governance concepts (RBAC, ABAC, encryption, key management, data privacy)
- Experience implementing APIs, microservices, or integration frameworks to connect applications and services
- Familiarity with infrastructure-as-code (e.g., Terraform, Bicep, ARM templates) and DevOps/CI-CD practices
Desired Qualifications
- Experience with Model Context Protocol (MCP) concepts, agent frameworks, or similar context/connector architectures
- Hands-on work with AI platforms such as Azure OpenAI, Azure AI Studio, or other LLM platforms
- Experience integrating with Microsoft 365 (SharePoint, Teams, OneDrive, Outlook) from applications or services
- Familiarity with data governance tools and frameworks (e.g., Purview, Collibra, Alation) and enterprise identity (Entra ID / Azure AD)
- Background in enterprise security, compliance, or regulated industries (e.g., finance, healthcare, public sector)
- Security-first mindset, able to balance usability and risk controls
- Stakeholder management: comfortable working with security, data, infra, and product teams
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