JOB DESCRIPTION:
We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
- An excellent retirement savings plan with high employer contribution
- Tuition reimbursement, the [Freedom 2 Save](https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program and [FreeU](https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) education benefit - an affordable and convenient path to getting a bachelor’s degree.
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
THE OPPORTUNITY
This _Senior AI Engineer_ position can work out remotely within the U.S.
Senior AI SW Engineer to work on a Go-based medical device web application and a modern Software as a Service (SaaS) cloud platform aimed at enhancing user health. This role will help improve existing platforms, design and implement cloud-based services, build internal tooling, and bring practical AI capabilities into safe, reliable health-focused products.
WHAT YOU’LL DO
- Enhance and maintain our Go-based healthcare platforms, focusing on reliability, performance, security, scalability, and user experience.
- Design, build, test, and deploy cloud-native SaaS services, APIs, and data workflows using Go and modern engineering practices.
- Develop high-volume, low-latency distributed systems supporting a global healthcare platform.
- Design and integrate AI capabilities, including model integrations, inference services, and evaluation workflows to drive advanced features and health insights.
- Collaborate with internal and external partners to build secure APIs that enable compliant sharing and use of medical data.
- Partner cross-functionally with product, quality, regulatory, security, DevOps, and engineering teams to deliver safe, scalable, and compliant medical device software.
- Work with InfoSec to design and implement secure, standards-aligned solutions.
- Write clean, testable, and maintainable code with strong test coverage.
- Ensure performance, availability, and scalability through high-quality engineering and design practices.
- Contribute to architecture and technical strategy, translating architectural goals into clear service boundaries, reusable patterns, and maintainable implementations.
- Drive system improvements to align platforms with evolving architectural standards.
- Build internal tools, automation, dashboards, and developer utilities to improve engineering productivity, operational visibility, and release confidence.
- Document system design using diagrams, flowcharts, and technical specifications.
- Participate actively in agile development, contributing to planning, development, testing, and delivery.
- Lead technical discussions, design reviews, and code reviews to uphold engineering excellence.
- Stay current with AI, cloud, healthcare, and software engineering trends, applying relevant innovations.
- Demonstrate ownership, strong technical judgment, collaboration, and a commitment to continuous learning.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- 8+ years of relevant experience, or a Master’s degree with 6+ years of experience
- Hands-on experience with applied AI/ML concepts , including model integration, inference workflows, evaluation, feature engineering, prompt/model orchestration, or intelligent automation
- Strong backend engineering experience in Go , including APIs, concurrency, testing, and maintainable system design
- Experience designing and contributing to scalable, highly available, and observable system architectures
- Experience building and maintaining distributed systems, including asynchronous processing, messaging, and backend data workflows
- Strong experience developing and integratingRESTful APIs and microservices
- Familiarity with database technologies (e.g., SQL Server, PostgreSQL, or similar relational/NoSQL systems)
- Experience with cloud platforms and modern development practices, including CI/CD, containers, infrastructure automation, observability, and version control
- Solid computer science fundamentals and problem-solving skills
- Experience working in agile development environments
- Practical working knowledge of Linux systems
- Strong communication skills (written and verbal) and ability to collaborate across teams
- Demonstrated ownership, curiosity, and willingness to contribute beyond defined responsibilities
Preferred Qualifications:
- Experience with medical device software, digital health, wellness platforms, clinical applications, or regulated software development.
- Familiarity with quality system practices, validation support, requirements traceability, risk-aware development, audit trails, and design documentation.
- Experience with Kubernetes, Docker, Terraform, message queues, event-driven architectures, service observability, or platform engineering practices.
- Exposure to MLOps, model versioning, monitoring, evaluation frameworks, retrieval-augmented generation, vector databases, or responsible AI practices.
- Understanding of secure software development, privacy, access control, auditability, encryption, and responsible handling of health-related or sensitive user data.
- Ability to mentor teammates through code reviews, documentation, knowledge sharing, and constructive technical feedback.
