Azure AI Integration MCP/API Engineer

Bitwise Solutions; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Bitwise Solutions is seeking a Senior MCP & AI Integration Engineer (Azure) to build and secure the integration layer that enables enterprise systems to participate in the AI/Agentic ecosystem. The role focuses on MCP, APIs, security, and Azure integration, not agent development.

Design and develop MCP Servers using Python, SSE, and JSON-RPC 2.0. Expose enterprise APIs for Copilots and AI agents and implement secure gateways with APIM and Entra ID.

Qualifications

• Hands-on experience building MCP Servers and tool-calling frameworks.
• Strong Python development skills.
• Deep expertise in Azure API Management (APIM) and security policies.
• Experience with OAuth 2.0, OBO token mediation, and JWT validation.
• Knowledge of Microsoft Entra ID and MCP governance.
• Experience deploying containerized microservices on Azure Container Apps / Functions.

Responsibilities

• Design and develop enterprise-grade MCP Servers using Python, SSE, and JSON-RPC 2.0.
• Expose enterprise APIs and services as MCP tools for Copilots and AI agents.
• Build secure API gateways using Azure API Management (APIM).
• Implement authentication and authorization with Microsoft Entra ID, OAuth 2.0, OBO Flow, and JWT validation.
• Define MCP standards, governance, security controls, and productization strategy.
• Create reusable patterns for integrating enterprise systems into the Agentic AI ecosystem.
• Design scalable, cloud-native deployments using Azure Container Apps and Azure Functions.

Skills

MCP Server development

Python development

API security

JWT validation

OAuth 2.0

Microsoft Entra ID

Azure container apps/functions

Tools

Azure APIM

Terraform / azd

Azure Container Apps

Azure Functions

Job description

candidates, Position Overview

Here are base skills we are looking for

• MCP Engineering: Hands-on experience developing remote, enterprise-grade MCP servers using SSE transport, JSON-RPC 2.0 schemas. Proficient with Python and building custom tool-calling abstractions for LLMs.
• Hands-on skills to secure API Gateway: Expertise in building and securing APIs & MCPs via Azure APIM, including advanced policy writing (validate-jwt, rewrite-uri, custom etc), OAuth 2.0, OBO token mediation, and MS Entra ID integration, hands on with security token mediation
• Related cloud Infra & DevOps: Versed in deploying HA containerized microservices on Azure Container Apps or Azure Functions,
• Good to have working knowledge of how to apply security within VNets using Terraform or Azure Dev CLI

Senior MCP & AI Integration Engineer (Azure)

Role Summary

Build and secure the integration layer that enables enterprise systems to participate in the AI/Agentic ecosystem. This role focuses on MCP, APIs, security, and Azure integration, not agent development.

Key Responsibilities

• Design and develop enterprise-grade MCP Servers using Python, SSE, and JSON-RPC 2.0.
• Expose enterprise APIs, applications, and business services as MCP tools consumable by Copilots and AI agents.
• Build secure API gateways using Azure API Management (APIM).
• Implement authentication and authorization using Microsoft Entra ID, OAuth 2.0, OBO Flow, and JWT validation.
• Define MCP standards, governance, security controls, and productization strategy.
• Create reusable patterns for integrating enterprise systems into the Agentic AI ecosystem.
• Design scalable, cloud-native deployments using Azure Container Apps and Azure Functions.

Mandatory Skills

• Hands-on experience building MCP Servers and tool-calling frameworks.
• Strong Python development skills.
• Deep expertise in:
• Azure API Management (APIM)
• validate-jwt, rewrite-uri, custom policies
• OAuth 2.0, OIDC, OBO token mediation
• Microsoft Entra ID
• Knowledge of MCP security, authorization, and governance.
• Experience deploying containerized microservices on Azure Container Apps / Azure Functions.
• Strong understanding of API-first and integration architecture.

Good to Have

• Terraform / Azure Developer CLI (azd)
• VNet, Private Endpoint, and network security implementation
• Copilot integration experience
• Experience establishing MCP standards and platform productization.