Senior AI Solution Architect
Boston Scientific1 day ago
Arden Hills, MN, USASenior
Base Salary
$107k - $203k/yr
Responsibilities
- Lead end-to-end architecture for enterprise generative AI applications, LLM-powered workflows, agentic systems, and intelligent automation.
- Design modular, reusable AI components and services for multiple platforms and business use cases.
- Define architecture patterns for agent orchestration, tool integration, memory management, retrieval-augmented generation, and human-in-the-loop workflows.
- Translate business requirements into scalable, production-ready architectures aligned with enterprise standards.
- Collaborate with business stakeholders and technical teams to ensure measurable business impact and architectural integrity.
- Partner with enterprise architecture, cybersecurity, legal, privacy, quality, and platform engineering teams on regulatory, security, and quality requirements.
- Architect secure and scalable data pipelines for AI workloads.
- Evaluate and integrate Azure, AWS, and Snowflake for cloud-native AI solutions.
- Guide decisions involving model hosting, vector databases, orchestration frameworks, monitoring, and MLOps/LLMOps.
- Ensure performance, reliability, observability, operational excellence, ethical AI, privacy, security, and compliance by design.
- Support risk assessments, model reviews, and documentation for enterprise and regulated environments.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, data science, or a related technical field.
- At least 5 years of experience in solution architecture, software architecture, or AI/ML engineering, including recent hands-on generative AI experience.
- Experience designing and deploying LLM-based solutions using retrieval-augmented generation, prompt engineering, and model integration.
- Experience in healthcare, 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.
- Experience working in enterprise-scale regulated environments with security, compliance, and quality requirements.
- Ability to communicate complex technical concepts to technical and nontechnical audiences.
- Preferred 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 MLOps/LLMOps experience, including model monitoring, evaluation, and lifecycle management.
- Experience defining reference architectures, design patterns, and reusable AI platforms.
Benefits
- Hybrid work model requiring at least three days per week in the local office.
- Boston Scientific does not offer or take over sponsorship of an employment visa for this position at this time.
- Relocation assistance is not available for this position at this time.
- Anticipated base salary range is $106800 to $202900 per year, with benefits and potential variable compensation subject to eligibility and applicable plans.
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.