Senior AI Solution Architect
that says "Boston Scientific offers core and optional employee benefits; details vary by location – see www.bscbenefitsconnect.com." That's preserving the info. Schedule: posting includes "Work model, sponsorship, relocation: At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week." That's schedule/hybrid work model. So we can include a Schedule section with that info. We also have "Additional Location(s): US-MN-Arden Hills" and some values list (Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance). That's likely boilerplate? It's not a standard heading; we could fold into a short paragraph maybe under About the role? But we need to preserve all substantive information. The values list is likely part of company culture; could be included in About the role paragraph. The "Additional Location(s): US-MN-Arden Hills" is location info; we could include in a short paragraph maybe under About the role or as a separate metadata paragraph. The rule: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. So we can include a short
for location and requisition ID maybe. We must not include cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The posting includes a lot of EEO statement at the end, plus COVID vaccination info, plus company description. Those are boilerplate/legal; we should remove them. Also the repeated "Boston Scientific transforms lives..." paragraph is likely boilerplate; we should remove. Also the equal opportunity employer statement is boilerplate; remove. Also the COVID vaccination info is likely boilerplate; remove. Also the "Learn more at www.bostonscientific.com and follow us on LinkedIn." maybe boilerplate; remove. Also the "Boston Scientific Corporation has been and will continue to be an equal opportunity employer." remove. We need to preserve substantive info: About the role paragraph, responsibilities list, qualifications (required and preferred), work model/hybrid, sponsorship/relocation note, salary range, benefits statement, location, requisition ID maybe. We must not repeat the job title as a heading. The job title is "AI solution architect". Not to be used as heading. We must use
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections to include based on content.
We have About the role: we have a paragraph after "About The Role". We'll put that in About the role
then
...
. Responsibilities: we have a list starting with "Your Responsibilities Will Include". We'll putResponsibilities
then- each item.
Qualifications: we have Required qualifications and Preferred Qualifications. Could combine into Qualifications section with two subparts? The rule: we can have Qualifications heading and then maybe separate Required and Preferred as
or
- . We'll put
- .
Then
Qualifications
maybe split required and preferred. We'll doRequired qualifications:
- list required items.
Required qualifications list:
- 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.
- 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.
- Demonstrated ability to communicate complex technical concepts clearly to technical and nontechnical audiences.
Then
Preferred qualifications:
- list preferred items.
Preferred qualifications list:
- 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.
Then
Benefits
Boston Scientific offers core and optional employee benefits; details vary by location – see www.bscbenefitsconnect.com.
ThenPay
Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will
Qualifications
then maybeRequired:
- ... and
Preferred:
- ... That's acceptable.
Skills: not explicitly separate; qualifications cover skills. Could omit Skills section.
Benefits: we have statement about benefits. We'll put
Benefits
thenBoston Scientific offers core and optional employee benefits; details vary by location – see www.bscbenefitsconnect.com.
Pay: we have salary range and compensation description. We'll putPay
thenThe anticipated compensation ranges from $106,800 to $202,900, with actual compensation based on location, experience, education, and other factors. Boston Scientific notes that compensation is commensurate with demonstrable level of experience and training, and may include variable compensation such as annual bonus target and long‑term incentives for exempt roles, and overtime/shift differential for non‑exempt roles.
Need to preserve the exact numbers and description. Avoid adding interpretation? We can keep close to original: "Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above. Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements). Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements)." We'll include that asbut maybe break into sentences for readability. Keep all info. Schedule: we have hybrid work model requiring at least three days per week in local office, plus note about sponsorship and relocation: "Boston Scientific will not offer sponsorship 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." That's also part of work model/sponsorship/relocation. We'll include in Schedule section: hybrid work model, sponsorship, relocation. We also have location and requisition ID. We'll include a short
maybe before sections: "Location: US-MN-Arden Hills. Requisition ID: 632011." Or we could incorporate into About the role paragraph. Probably better to have a short
after the heading? But we must not create extra headings for minor metadata. So we can put a
after the initial content maybe before sections:
Location: US-MN-Arden Hills. Requisition ID: 632011.
We must not include duplicated lines. Ensure we don't repeat the same sentences. Now construct HTML. We'll start withLocation: US-MN-Arden Hills. Requisition ID: 632011.
ThenAbout the role
Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day. 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. In this role, you will bridge the gap between complex business needs and advanced AI system design, translating business challenges into scalable, secure and compliant generative AI and agentic AI architectures. You 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 role requires deep technical expertise, strong architectural judgment and the ability to influence cross-functional stakeholders.
ThenResponsibilities
- with items.
List items from posting:
- 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.
Make sure each is a
- .
Then