Senior AI Engineer

Abbott

Confirmed live 2 days ago Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$99,300–$198,700 / yr
Posted
93 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $149k
$81k most similar roles pay here $271k

This role pays less than 87% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $149k versus about $204k for comparable roles.

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 90 open roles on FindRole.

Listed pay typically runs $99,300–$198,700 across 89 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Senior AI Engineer

As a Senior AI Engineer, you will join the team to develop and enhance a Go-based medical device web application and a modern SaaS cloud platform designed to improve user health outcomes. You will be responsible for building high-volume, low-latency distributed systems, designing cloud-native services, and creating internal tools to improve engineering productivity. Your core responsibilities include integrating AI capabilities such as model inference, evaluation workflows, and prompt orchestration into safe, reliable products. The role requires expertise in Go, RESTful APIs, microservices, and database technologies like SQL Server or PostgreSQL. You will work within a cloud-native environment using containers, CI/CD, and infrastructure automation. This position focuses on the specific challenge of delivering secure, compliant medical device software that provides accurate data for managing conditions like diabetes through advanced sensing technology and intelligent automated features.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Maintain and enhance Go-based healthcare platforms focusing on reliability, performance, 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 for health insights.
  • Build secure APIs to enable compliant sharing and use of medical data with internal and external partners.
  • Create internal tools, automation, dashboards, and developer utilities to improve engineering productivity.
  • Contribute to technical strategy by defining service boundaries, reusable patterns, and maintainable implementations.
  • Lead technical discussions, design reviews, and code reviews to ensure high standards of 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, 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 and backend data workflows.
  • Experience developing and integrating RESTful APIs and microservices.
  • Proficiency with cloud platforms, CI/CD, containers, infrastructure automation, and Linux systems.

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