Senior AI Engineer

United States - Illinois - Abbott Parksenior

Machine Learning EngineerData

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Quick Summary

Requirements Summary

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field 8+ years of relevant experience,

Technical Tools

Machine Learning EngineerData

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

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.

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 student debt program and FreeU 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.

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.

Responsibilities

~2 min read

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Enhance and maintain our Go-based healthcare platforms, focusing on reliability, performance, security, scalability, and user experience.
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Design, build, test, and deploy cloud-native SaaS services, APIs, and data workflows using Go and modern engineering practices.
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Develop high-volume, low-latency distributed systems supporting a global healthcare platform.
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Design and integrate AI capabilities, including model integrations, inference services, and evaluation workflows to drive advanced features and health insights.
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Collaborate with internal and external partners to build secure APIs that enable compliant sharing and use of medical data.
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Partner cross-functionally with product, quality, regulatory, security, DevOps, and engineering teams to deliver safe, scalable, and compliant medical device software.
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Work with InfoSec to design and implement secure, standards-aligned solutions.
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Write clean, testable, and maintainable code with strong test coverage.
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Ensure performance, availability, and scalability through high-quality engineering and design practices.
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Contribute to architecture and technical strategy, translating architectural goals into clear service boundaries, reusable patterns, and maintainable implementations.
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Drive system improvements to align platforms with evolving architectural standards.
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Build internal tools, automation, dashboards, and developer utilities to improve engineering productivity, operational visibility, and release confidence.
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Document system design using diagrams, flowcharts, and technical specifications.
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Participate actively in agile development, contributing to planning, development, testing, and delivery.
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Lead technical discussions, design reviews, and code reviews to uphold engineering excellence.
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Stay current with AI, cloud, healthcare, and software engineering trends, applying relevant innovations.
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Demonstrate ownership, strong technical judgment, collaboration, and a commitment to continuous learning.

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Experience with medical device software, digital health, wellness platforms, clinical applications, or regulated software development.
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Familiarity with quality system practices, validation support, requirements traceability, risk-aware development, audit trails, and design documentation.
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Experience with Kubernetes, Docker, Terraform, message queues, event-driven architectures, service observability, or platform engineering practices.
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Exposure to MLOps, model versioning, monitoring, evaluation frameworks, retrieval-augmented generation, vector databases, or responsible AI practices.
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Understanding of secure software development, privacy, access control, auditability, encryption, and responsible handling of health-related or sensitive user data.
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Ability to mentor teammates through code reviews, documentation, knowledge sharing, and constructive technical feedback.