Senior AI Engineer

AbbottChicago, IL
$99,300 - $198,700Remote

About The Position

Abbott is a global healthcare leader focused on helping people with diabetes manage their health through life-changing products. This Senior AI Engineer position, which can work remotely within the U.S., will focus on a Go-based medical device web application and a modern Software as a Service (SaaS) cloud platform aimed at enhancing user health. The role involves improving existing platforms, designing and implementing cloud-based services, building internal tooling, and integrating practical AI capabilities into safe, reliable health-focused products.

Requirements

  • 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 integrating RESTful 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

Nice To Haves

  • 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.

Responsibilities

  • Enhance and maintain 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.

Benefits

  • 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
  • FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
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