Senior AI Solutions Lead

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.

About The Role

Boston Scientific's Active Implantable Systems (AIS) R&D organization is seeking a Senior AI Solutions Lead to join our AI Transformation core team and translate engineering workflow requirements into AI solution designs. This is an exciting opportunity to join a growing team that will enable the re-imagining of how work gets done across our R&D engineering functions.

In this role, you will act as the domain-grounded bridge between our AIS R&D engineering functions (systems, software, hardware, research, and PMO) and the AI Solutions Architect and AI Solutions Delivery roles. You will lead solution design for pilot workflows and coordinate input from domain subject matter experts. The role requires strong hands-on applied AI or ML engineering skills combined with the ability to translate ambiguous engineering requirements into concrete, testable AI solution designs within a regulated product development environment.

Work model: This role follows an onsite work model requiring employees to be in our local office at least three days per week. 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.

Responsibilities

• Translate engineering workflow requirements from AIS R&D domain SMEs into concrete AI solution designs.
• Evaluate tools, configurations, and integration patterns for each candidate workflow, including build-versus-reuse recommendations.
• Lead and coordinate AIS R&D domain SME input throughout pilot design, evaluation, and rollout.
• Support pilot design and evidence capture, including defining success criteria and test scenarios for candidate workflows.
• Validate results from the evaluation harness and help resolve issues identified during pilot testing.
• Design and deploy retrieval-augmented generation, context engineering, and model integration patterns for engineering use cases.
• Partner with the AI Solutions Architect on architecture direction, and with AI Solutions Delivery on implementation and operational hand-off.
• Hand off validated domain playbooks to functional teams as workflows move from pilot to production.
• Contribute to a culture of ownership, experimentation, and customer-centric solution design.

Qualifications

Required qualifications

• Bachelor's or master's degree in computer science, engineering, data science, or a related technical field.
• Minimum of 5 years' experience in AI/ML engineering, solution design, or applied AI development, including recent hands-on work in generative AI.
• Proven experience designing and deploying large language model-based solutions, including retrieval-augmented generation, context engineering, and model integration.
• Experience translating business or engineering requirements into technical solution designs and working directly with subject matter experts.
• Experience building or supporting pilot evaluations, including defining success metrics and capturing evidence for go/no-go decisions.
• Experience working in a regulated, enterprise-scale environment with security, compliance, and quality requirements.
• Strong communication skills, with the ability to explain technical AI concepts to non-technical engineering stakeholders.

Preferred Qualifications

• 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.
• Experience in healthcare, life sciences, medical devices, or another highly regulated industry.
• Experience coordinating cross-functional technical SMEs across multiple engineering disciplines.

Pay

The anticipated compensation range for this role is $85,000 to $161,500. Compensation will be commensurate with demonstrable level of experience, pertinent education, and other relevant factors. At Boston Scientific, it is not typical for an individual to be hired near the bottom or top of the range. Compensation for non-exempt (hourly), non-sales roles may also include variable compensation (e.g., overtime, shift differential, and annual bonus). Compensation for exempt, non-sales roles may also include variable compensation, such as annual bonus and long-term incentives.

Benefits

Core and optional employee benefits offered by Boston Scientific vary based on position and other factors. Learn more at www.bscbenefitsconnect.com.