AI Software Engineer III

Additional Location(s):  US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.          About the role: 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. 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.   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. 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.   Your responsibilities will include:

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.

Qualifications: Required qualifications:

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.

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.   Requisition ID: 632012 Minimum Salary: $ 82100   Maximum Salary: $ 156000     The anticipated compensation listed above and the value of core and optional employee