Senior AI Engineer

Abbott

Confirmed live today Low trust
Remote

Quick summary

Work type
Remote
Location
United States
Employment
Full-time
Posted
139 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $195k
$134k $247k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,768–$235,750.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 193 open roles on FindRole.

Listed pay typically runs $99,300–$198,700 across 123 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer

The Senior AI Engineer joins the ADC Diabetes Care team to enhance a Go-based medical device web application and a modern SaaS cloud platform. This role involves designing, building, and deploying cloud-native services, APIs, and data workflows while integrating practical AI capabilities like model inference and evaluation workflows to provide health insights. The engineer will develop high-volume, low-latency distributed systems, build internal tooling, and ensure performance and security for medical data. Key technologies include Go, SQL Server, PostgreSQL, Linux, and cloud platforms using CI/CD, containers, and infrastructure automation. The work focuses on solving technical challenges in glucose monitoring and diabetes management, requiring expertise in RESTful APIs, microservices, and MLOps. The position demands strong backend engineering skills to deliver safe, scalable, and compliant software for healthcare products.

What does a AI Engineer earn?

Median $211200 from 139 postings across 39 companies.

See salary data

What you'll do

  • Enhance and maintain Go-based healthcare platforms focusing on reliability, security, and scalability.
  • Design, build, and deploy cloud-native SaaS services, APIs, and data workflows using Go.
  • Develop high-volume, low-latency distributed systems to support a global healthcare platform.
  • Integrate AI capabilities including model integrations, inference services, and evaluation workflows.
  • Build secure APIs to enable compliant sharing and use of medical data.
  • Create internal tools, automation, dashboards, and developer utilities to improve engineering productivity.
  • Document system designs using diagrams, flowcharts, and technical specifications.
  • Lead technical discussions, design reviews, and code reviews to uphold engineering excellence.

What we're looking for

  • 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, and feature engineering.
  • 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.
  • Experience with cloud platforms, CI/CD, containers, infrastructure automation, observability, and version control.
  • Experience with medical device software, digital health, or regulated software development (preferred).

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