Additional Location(s): N/A
About the role:We are 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.
This role will shape enterprise MCP architecture, security, governance and integration standards, enabling AI agents and large language models (LLMs) to securely connect with enterprise applications, data platforms and services. You will collaborate with AI Engineering, Enterprise Architecture, Cloud Platform, Cybersecurity and cross-functional teams to accelerate responsible AI adoption.
Work mode and visa sponsorship:At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office Marlborough, MA at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.
Your responsibilities will include:- 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, Google Cloud Platform (GCP), 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.
Required qualifications:- Bachelor's degree in computer science, software engineering, data engineering, information systems or a related technical field, or equivalent practical experience.
- Minimum 8 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 or GCP.
- 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.
Preferred qualifications:- Proven experience designing enterprise generative AI or agent platforms.
- Hands-on experience with MCP clients, servers, gateways or related AI integration technologies.
- Proven experience with API management, service mesh and multi-cloud architectures.
- Familiarity with OpenTelemetry, Fiddler or enterprise observability platforms.
- Knowledge of responsible AI, AI governance and emerging agent security practices.
Requisition ID: 635682Minimum Salary: $89200Maximum Salary: $169500The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) - see www.bscbenefitsconnect.com-will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs.
At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.Compensation for
non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation for
exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
