Senior AI Solution Architect

bostonscientific • Marlborough, MA

1d • Hybrid

About The Position

Boston Scientific is seeking a Senior AI Solution Architect to join their AI Engineering team. This role involves leading the design of next-generation AI solutions across the enterprise, operating at the intersection of business strategy and advanced technology. The architect will translate complex business challenges into scalable, secure, and compliant generative AI and agentic AI architectures. They will define end-to-end technical solution architectures for AI-powered products, including custom generative AI applications, intelligent agents, virtual assistants, and reusable AI services. This position requires deep technical expertise, strong architectural judgment, and the ability to influence cross-functional stakeholders across engineering, data, cybersecurity, legal, and business teams.

Requirements

• Minimum 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.
• Previous background in healthcare, life sciences, or other highly regulated industries.
• 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.
• Demonstrated ability to communicate complex technical concepts clearly to technical and nontechnical audiences.

Nice To Haves

• 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.
• Preferred hands-on experience with MLOps/LLMOps, including model monitoring, evaluation, and lifecycle management.
• Proven experience defining reference architectures, design patterns, and reusable AI platforms.

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.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401k
• Employee bonus referral program
• Professional development
• Continued education
• Wellness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior