Senior Platform Engineer, Enterprise AI & MCP

Boston Scientific; Marlborough (MA); Hybrid; USD 89,000 - 170,000; Full time

Job summary

Boston Scientific is seeking a Senior Platform Engineer to lead the design, development and implementation of secure, scalable Model Context Protocol (MCP) capabilities across enterprise AI and multi-cloud environments. You will shape MCP architecture, governance and integration standards to enable AI agents and LLMs to connect with enterprise data and services.

You will collaborate with AI Engineering, Enterprise Architecture, Cloud Platform and Cybersecurity teams to accelerate responsible AI

Qualifications

• Bachelor's degree in a related technical field or equivalent practical experience.
• Minimum 5 years' experience in enterprise architecture, cloud engineering, platform engineering or distributed systems.
• Experience designing and implementing large-scale hybrid and multi-cloud platforms.

Responsibilities

• Lead enterprise MCP strategy, architecture, standards and roadmaps across hybrid and multi-cloud environments.
• Design, build and operate scalable MCP platforms connecting AI agents, enterprise APIs, applications and data sources.
• Establish MCP gateway and control plane capabilities, including service discovery, authentication, authorization, routing, policy enforcement and observability.
• Develop standardized deployment and integration patterns across AWS, Azure, and Kubernetes and enterprise platforms.
• Implement Zero Trust security, identity management, least-privilege access and safeguards against emerging AI agent threats.
• Define secure AI agent integration patterns, including tool execution, identity propagation and human-in-the-loop approvals.
• Establish MCP governance, service lifecycle, architecture certification and operational reliability standards.
• Develop reusable frameworks, automated CI/CD pipelines, infrastructure-as-code and self-service developer capabilities.
• Partner with enterprise architecture, cybersecurity and engineering teams to drive platform adoption, scalability and continuous improvement.

Skills

Strong communication

Stakeholder management

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

CI/CD

Job description

Boston Scientific is seeking a Senior Platform Engineer to lead the design, development and implementation of secure, scalable Model Context Protocol (MCP) capabilities across enterprise AI and multi-cloud environments. You will shape MCP architecture, governance and integration standards to enable AI agents and LLMs to connect with enterprise data and services.

You will collaborate with AI Engineering, Enterprise Architecture, Cloud Platform and Cybersecurity teams to accelerate responsible AI