Senior Platform Engineer - Enterprise AI & Multi-Cloud

Boston Scientific; Arden Hills (MN); Hybrid; USD 89,000 - 170,000; Full time

Job summary

Boston Scientific seeks a Senior Platform Engineer to lead the design, development and implementation of secure, scalable MCP capabilities across enterprise AI and multi-cloud environments.

You will shape MCP architecture, governance and integration standards and collaborate with AI Engineering, Enterprise Architecture, Cloud Platform and Cybersecurity teams to accelerate responsible AI adoption. A hybrid work model is available with ARDEN HILLS or MARLBOROUGH offices.

Qualifications

• Bachelor's degree in computer science, software engineering, data engineering, information systems or 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.
• Strong understanding of Model Context Protocol (MCP), AI agents, LLMs, retrieval-augmented generation (RAG) and agentic AI architectures.
• Expertise in at least two cloud platforms: AWS, Microsoft Azure.
• Strong knowledge of enterprise APIs, microservices, distributed systems and integration architecture.
• Experience with OAuth/OIDC, identity and access management (IAM), role-based and attribute-based access controls (RBAC/ABAC) and Zero Trust security.
• Proficiency with Kubernetes, containers, CI/CD and infrastructure-as-code.
• Proven experience developing enterprise architecture standards, governance frameworks and technology roadmaps.
• Strong communication and stakeholder management skills, with the ability to influence technical leadership.

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

MCP / Model Context Protocol

AI agents / LLMs

Hybrid / Multi-cloud architecture

OAuth / OIDC / IAM / RBAC/ABAC

Kubernetes / Containers

CI/CD / Infrastructure-as-Code

Enterprise APIs / Microservices

Zero Trust security

OpenTelemetry / Observability

API management / Service mesh

Education

BS in CS or related field

Tools

AWS

Azure

Kubernetes

Job description

Boston Scientific seeks a Senior Platform Engineer to lead the design, development and implementation of secure, scalable MCP capabilities across enterprise AI and multi-cloud environments.

You will shape MCP architecture, governance and integration standards and collaborate with AI Engineering, Enterprise Architecture, Cloud Platform and Cybersecurity teams to accelerate responsible AI adoption. A hybrid work model is available with ARDEN HILLS or MARLBOROUGH offices.