Position Summary

Lead enterprise adoption of MCP-based AI integrations by designing, deploying, and operationalizing secure tool ecosystems connecting LLMs with enterprise applications, APIs, and data sources.

Location

Mumbai - India

What will your job entail?

AI Forward Deployment Engineer – MCP (Model Context Protocol) Experience: 5-8+ Years | Employment Type: Full-Time

Role Overview Lead enterprise adoption of MCP-based AI integrations by designing, deploying, and operationalizing secure tool ecosystems connecting LLMs with enterprise applications, APIs, and data sources.

Key Responsibilities Design and implement MCP servers, tools, resources, and prompts for enterprise AI platforms. Build integrations across Azure, ServiceNow, Databricks, Microsoft 365, Jira, and line-of-business applications. Define standards for tool discovery, access control, authentication, and governance.

Develop reusable MCP frameworks and SDK accelerators. Establish observability, monitoring, and performance optimization practices. Partner with AI architects and business teams to productionize enterprise use cases.

Required Skills Python, TypeScript, MCP, REST APIs, OAuth, Azure, Kubernetes, AI integration architecture, enterprise security, API gateways, DevOps, observability.





Preferred Qualifications Experience with Semantic Kernel, LangChain, Azure OpenAI, multi-tenant MCP architectures, and enterprise governance.

Core Competencies

Enterprise AI Deployment, Customer Engagement, Solution Architecture, Governance, Automation, Cloud Engineering, Production Support. Disclaimer

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions.

Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, perks, training, leaves of absence, and other terms, conditions, and benefits of employment.

📌 AI Engineer (Mumbai)
🏢 Ryan Specialty
📍 Mumbai