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Boston Scientific

Medical devices maker for interventional specialties

Senior AI Solution Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in computer science, engineering, data science, or a related technical field is required.
  • At least five years of experience in solution architecture, software architecture, or AI/ML engineering, including recent hands-on generative AI work.
  • Proven experience designing and deploying large language model-based solutions, including retrieval-augmented generation, prompt engineering, and model integration.
  • Experience in health care, life sciences, or another highly regulated industry.
  • Strong understanding of cloud-native architectures in Azure and/or AWS and modern data platforms such as Snowflake.
  • Demonstrated experience working in enterprise-scale, regulated environments with security, compliance, and quality requirements.

Responsibilities

  • Lead the end-to-end architecture of enterprise AI solutions, including generative AI applications, large language model-powered workflows, agentic systems, and intelligent automation.
  • Design modular and reusable AI components and services that can be leveraged across multiple platforms and business use cases.
  • Define architectural patterns for agent orchestration, tool integration, memory management, retrieval-augmented generation, and human-in-the-loop workflows.
  • Translate business requirements into scalable, production-ready AI architectures aligned with enterprise standards.
  • Partner with business stakeholders to understand objectives, constraints, and value drivers, helping ensure measurable business impact.
  • Collaborate with AI engineers, software engineers, data scientists, and data engineers to guide implementation and maintain architectural integrity.
  • Partner with enterprise architecture, cybersecurity, legal, privacy, quality, and platform engineering teams to help ensure solutions meet regulatory, security, and quality expectations.
  • Architect secure and scalable data pipelines in partnership with data engineering teams to support AI and generative AI workloads.
  • Evaluate and integrate technologies across Azure, AWS, and Snowflake to deliver cloud-native, resilient, and cost-effective solutions.
  • Guide platform-level decisions related to model hosting, vector databases, orchestration frameworks, monitoring, and MLOps/LLMOps practices.
  • Ensure solutions are designed for performance, reliability, observability, and operational excellence.
  • Embed ethical AI, security-by-design, privacy-by-design, and compliance-by-design principles into solution architectures.
  • Support risk assessments, model reviews, and required documentation for enterprise and regulated environments.

Desired Qualifications

  • Proven experience with agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
  • Familiarity with vector databases, embedding strategies, and search optimization techniques.
  • Hands-on experience with MLOps/LLMOps, including model monitoring, evaluation, and lifecycle management.
  • Proven experience defining reference architectures, design patterns, and reusable AI platforms.
  • Ability to communicate complex technical concepts clearly to technical and nontechnical audiences.

About the Company

Boston Scientific

Medical devices maker for interventional specialties

Boston Scientific designs and makes medical devices used in procedures across cardiology, endoscopy, urology, and neuromodulation. Its products help doctors diagnose and treat conditions by guiding minimally invasive interventions and delivering therapies inside the body, with revenue from hospitals and clinics. The firm differentiates itself through a broad, global portfolio and heavy ongoing investment in research and development to expand capabilities and address complex health issues. Its goal is to improve patient care by providing reliable, effective medical devices and solutions that enable clinicians to perform safer, more effective procedures while growing its business.

Company size
10,001+
Company stage
IPO
Headquarters
Marlborough, MA
Founded
1979

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