Boston Scientific · 14 hours ago
Senior AI Solution Architect - GenAI & Agentic AI
Boston Scientific is seeking a Senior AI Solution Architect to join our AI Engineering team and lead the design of next-generation AI solutions across the enterprise. In this role, you will operate at the intersection of business strategy and advanced technology, translating complex business challenges into scalable AI architectures.
Medical DeviceHealthcareHealth CareMedical
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 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, ensuring measurable business impact
Collaborate with AI engineers, software engineers, data scientists and data engineers to guide implementation and ensure architectural integrity
Partner with enterprise architecture, cybersecurity, legal, privacy, quality and platform engineering teams to 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 all solution architectures
Support risk assessments, model reviews and required documentation for enterprise and regulated environments
Qualification
Required
Bachelor's or master's degree in computer science, engineering, data science or a related technical field
Minimum of 5 years' experience in solution architecture, software architecture or AI/ML engineering, including recent hands-on work in generative AI
Proven experience designing and deploying large language model-based solutions, including retrieval-augmented generation, prompt engineering and model integration
Strong understanding of cloud-native architectures in Azure and/or AWS and modern data platforms such as Snowflake
Experience working in enterprise-scale, regulated environments with security, compliance and quality requirements
Demonstrated ability to communicate complex technical concepts clearly to technical and nontechnical audiences
Preferred
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
Background in healthcare, life sciences or other highly regulated industries
Experience defining reference architectures, design patterns and reusable AI platforms
Company
Boston Scientific
Boston Scientific is a medical technology company that designs and develops medical devices to diagnose and treat a wide range of condition.
Funding
Current Stage
Public CompanyTotal Funding
$10.01B2025-02-21Post Ipo Debt· $1.57B
2024-02-22Post Ipo Debt· $2.17B
2022-03-04Post Ipo Debt· $3.28B
Recent News
Medical Device Network
2026-02-10
2026-02-09
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