[Hiring] Senior AI/ML Engineer @Abbott

Role Description

The Sr. AI/ML Engineer guides the architecture, technical roadmap, and hands-on implementation of the life sciences AI platform providing the foundations for agentic solutions across the science and medical offices. This role helps shape the organization’s AI strategy and evaluates emerging state-of-the-art technologies for practical implementation within the platform.

This role serves both technical consumers in the Bioinformatics, Biostatistics and Data Science group, and non-technical consumers across Clinical Affairs, Regulatory Affairs, and Medical Operations within a setting of advanced cancer screening and precision oncology. The work combines pragmatic experimentation with a clear path beyond prototypes, producing solutions that are evaluated, validated, governed, supported, and reusable.

This role defines the engineering standards, controls, and validation framework under which generative AI solutions are developed and published, and provides technical leadership through mentorship and architecture review.

Qualifications

• Ph. D in Statistics, Computational Biology, Computer Science, or related quantitative field, or master’s degree in the same fields plus 4 years of experience in lieu of a Ph.D.
• 3+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field.
• 3+ years of experience with artificial intelligence and machine learning algorithms.
• Demonstrated knowledge and experience with advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.
• Demonstrated knowledge and experience using AI and ML techniques in natural language processing, image processing and computer vision, image and pattern recognition.
• Demonstrated knowledge and experience with large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation.
• Strong programming ability with experience in Python and one or more machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn.
• Knowledge of and experience working with open-source AI models.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

Requirements

• Guide the architecture, technical roadmap, and strategic evolution of the life sciences generative AI platform.
• Design and implement shared platform services, reusable components, and supported solution patterns.
• Integrate agent frameworks and interoperability protocols with enterprise data sources.
• Partner with stakeholders and AI/ML engineers to translate operational workflows into scalable AI solutions.
• Drive platform adoption by defining and applying evaluation criteria.
• Apply Agile practices to iteratively develop and mature solutions.
• Provide mentorship and coaching to junior team members.
• Act as a resource and subject matter expert in meetings.
• Communicate complex information clearly to stakeholders.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies.
• Maintain regular and reliable attendance during the designated work schedule.
• Act with an inclusion mindset and model these behaviors.
• Ability to work on a mobile device or in front of a computer screen for approximately 85% of a typical working day.
• Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Benefits

• The base pay for this position is $78,000.00 – $156,000.00.
• In specific locations, the pay range may vary from the range posted.

Company Description

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 122,000 colleagues serve people in more than 160 countries.