Senior Applied AI Engineer
Location: United States of America : Remote
Category: Research & Development
Employment Type: Full time
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.
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 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.
THE OPPORTUNITY
This Senior Applied AI Engineer position can work out remotely within the U.S.
The Sr. Applied AI Engineer role focuses on designing, implementing, and operationalizing AI-powered systems to support high-impact business use cases. Key responsibilities include developing AI solutions, integrating and adapting large language models, collaborating on use case identification, defining model performance metrics, mentoring team members, and staying current with industry advancements.
What You’ll Work On
Support Abbott’s growing AI Ops initiatives
Architect and design AI platforms for multiple teams
Develop and implement AI systems to solve complex business problems
Customize large language models for product applications; strong knowledge of NLP and generative AI
Lead the design and coding of data-intensive, AI-enabled systems
Collaborate with product stakeholders to translate business needs into AI solutions, validate use cases, and communicate findings to non-technical audiences
Demonstrate advanced analytics and AI expertise with a solid foundation in programming
Assist in deploying models to public cloud environments such as AWS and Microsoft Azure
Mentor engineers, stay current with industry advancements, and contribute to building and growing the team
Perform other duties as assigned
Qualifications:
Bachelor's degree in computer science, Information Technology, or related field
Minimum 7 years of related experience or Master's Degree with 4+ years of related experience
Hands-on experience with natural language processing and generative AI
Strong software engineering background with experience building production services
Outstanding analytical and problem-solving skills
Excellent communication and interpersonal skills
Proven experience collaborating across engineering, data, and business teams
Preferred
Prior experience in the healthcare or other regulated industries
#software
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal
The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.
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