Senior Platform Engineer - Enterprise AI
Boston Scientific5 days ago
Arden Hills, MN, USASenior
Base Salary
$89k - $170k/yr
Responsibilities
- Lead enterprise MCP strategy, architecture, standards, governance, 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 gateways and control planes with service discovery, authentication, authorization, routing, policy enforcement, and observability.
- Develop standardized deployment and integration patterns across AWS, Microsoft Azure, 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 for tool execution, identity propagation, and human-in-the-loop approvals.
- Develop reusable frameworks, automated CI/CD pipelines, infrastructure-as-code, and self-service developer capabilities.
- Partner with architecture, cybersecurity, and engineering teams to drive platform adoption, scalability, and continuous improvement.
Requirements
- Bachelor's degree in computer science, software engineering, data engineering, information systems, or a related technical field, or equivalent practical experience.
- At least 5 years of 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, AI agents, LLMs, retrieval-augmented generation, and agentic AI architectures.
- Expertise in at least two cloud platforms, including AWS and Microsoft Azure.
- Strong knowledge of enterprise APIs, microservices, distributed systems, and integration architecture.
- Experience with OAuth/OIDC, identity and access management, RBAC/ABAC, and Zero Trust security.
- Proficiency with Kubernetes, containers, CI/CD, and infrastructure-as-code.
- Experience developing enterprise architecture standards, governance frameworks, and technology roadmaps.
- Strong communication and stakeholder management skills with the ability to influence technical leadership.
- Preferred qualifications include experience with enterprise generative AI or agent platforms, MCP clients, servers or gateways, API management, service mesh, multi-cloud architectures, OpenTelemetry, Fiddler, responsible AI, and AI governance.
Benefits
- Hybrid work model requiring at least three days per week in the local office in Arden Hills, Minnesota, or Marlborough, Massachusetts.
- Employee benefits are offered through Boston Scientific's core and optional benefits programs.
Tech Stack
Categories
About Boston Scientific
Boston Scientific designs and manufactures implantable and minimally invasive medical devices used by physicians to diagnose and treat cardiovascular, endoscopic, urological, neurological, and other conditions. It sells these products and related therapies to hospitals and health systems worldwide through a direct sales model and distributors. Founded in 1979 and headquartered in Marlborough, Massachusetts, it is publicly traded on the NYSE (BSX) with offerings spanning stents, catheters, electrophysiology, and neuromodulation systems.