Senior AI Solution Architect — Enterprise Generative AI Leader

Boston Scientific; Arden Hills (MN); Hybrid; USD 107,000 - 203,000; Full time

Job summary

Boston Scientific is seeking an AI solution architect to join our AI Engineering team and lead the design of next-generation AI solutions across the enterprise.

You will translate business challenges into scalable, secure AI architectures and collaborate with AI engineers, data scientists and cybersecurity teams to deliver production-ready, compliant solutions.

This role requires strong architectural judgment and collaboration across stakeholders in a regulated healthcare environment.

Qualifications

• Bachelor’s or master’s degree in a technical field such as CS, engineering, or data science.
• 5+ years of solution/AI architecture experience, with hands-on work in generative AI.
• Experience deploying LLM-based solutions, retrieval-augmented generation, and model integration.
• Experience in regulated industries like healthcare.

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.

Skills

Solution architecture

AI/ML engineering

Cloud architectures

Communication skills

Education

Bachelor’s or Master’s degree in computer science, engineering, data science or related field

Tools

Azure

AWS

Snowflake

Job description

Boston Scientific is seeking an AI solution architect to join our AI Engineering team and lead the design of next-generation AI solutions across the enterprise.

You will translate business challenges into scalable, secure AI architectures and collaborate with AI engineers, data scientists and cybersecurity teams to deliver production-ready, compliant solutions.

This role requires strong architectural judgment and collaboration across stakeholders in a regulated healthcare environment.