AI Software Engineer III
About The Position
Boston Scientific is seeking an AI software engineer to join our Engineering team and help develop next-generation AI solutions across the enterprise. We are looking for a hands-on engineer with expertise in Python, system design, enterprise integrations, data architecture and applied AI systems. You will play a key role in designing and building scalable solutions and user experiences that power our AI products and AI agent solutions. Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work. 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.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, data science or a related technical field.
- Proven experience designing and deploying large language model-based solutions, including retrieval-augmented generation, prompt engineering and model integration.
- Experience creating human and automated evaluations to help ensure high AI model quality.
- Deep experience with asynchronous processing and distributed task queues, such as Celery, Kafka, SQS, RabbitMQ or Redis.
- Experience designing and building robust APIs.
- Ability to operate with a high degree of autonomy, navigate ambiguity and thrive in a fast-moving, startup-like environment.
- Demonstrated curiosity and commitment to learning and staying current in the rapidly evolving AI field.
- Strong understanding of cloud-native architectures in Azure and/or AWS and modern data platforms.
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.
- 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
- Design modular and reusable AI components and services that can be leveraged across multiple platforms and business use cases.
- Design end-to-end, multi-agent workflows with tool routing, human approvals, audit trails and safe action boundaries.
- Design data architecture for operational AI systems, including ingestion, schemas, quality checks and governance.
- Build evaluations, monitoring, metrics and regression tests for agentic workflows.
- Ensure solutions are designed for performance, reliability, observability and operational excellence.
- Contribute to a culture of ownership, experimentation and customer-centric product thinking.
Benefits
- 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).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
