Senior AI & Multi-Cloud Platform Engineer (Hybrid)

Devopsroles; Town of Marlborough (NY); 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 MCP capabilities across enterprise AI and multi-cloud environments. You will shape architecture, security, governance and integration standards to enable AI agents and LLMs to connect with enterprise apps and data sources.

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

Qualifications

• Bachelor's degree in computer science, software engineering, data engineering, information systems or related field, or equivalent practical experience
• Minimum 5 years' experience in enterprise architecture, cloud/platform engineering or distributed systems
• Experience designing and implementing large-scale hybrid and multi-cloud platforms
• Strong understanding of MCP, AI agents, LLMs, RAG and agentic AI architectures
• Expertise in AWS and Azure cloud platforms
• Knowledge of enterprise APIs, microservices, distributed systems and integration architecture
• Experience with OAuth/OIDC, IAM, RBAC/ABAC and Zero Trust
• Proficiency with Kubernetes, containers, CI/CD and infrastructure-as-code
• Proven experience developing EA standards, governance frameworks and roadmaps
• Strong communication and stakeholder management skills

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 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 & AI architectures

Hybrid multi-cloud

Cloud platforms (AWS/Azure)

APIs & microservices

Zero Trust security

Kubernetes & CI/CD

Architecture standards & roadmaps

Stakeholder management

Security & IAM

Education

Bachelor's degree in CS/Engineering or related field

Tools

OpenTelemetry

Fiddler

API management

Job description

Boston Scientific is seeking 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 architecture, security, governance and integration standards to enable AI agents and LLMs to connect with enterprise apps and data sources.

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