Sr. Engineer, AI Platform

Abbott Laboratories; Madison (WI); On-site; USD 99,000 - 199,000; Full time

Job summary

Abbott Laboratories in Madison, Wisconsin, seeks a Lead Engineer, Artificial Intelligence to drive the strategic vision and technical execution of AI initiatives. You will lead ML, NLP, and LLM work, collaborating with data scientists, ML engineers, and software engineers to deploy models into production and ensure alignment with business goals.

The role emphasizes ethical AI, regulatory compliance, and continuous learning, with mentorship of team members and active contribution to Abbott’s

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field; or High School Diploma with 4+ years of relevant experience.
• Proven expertise designing and deploying AI solutions that drive measurable business impact.
• Understanding of ethical considerations in AI systems.
• 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Responsibilities

• Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
• Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
• Complete the development and deployment of AI models and algorithms to solve complex problems.
• Stay updated on advancements in AI research and technology to guide initiatives.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Coach, support, and provide mentorship for team members.
• Champion ethical AI practices and ensure compliance with regulatory standards.
• Address issues related to data privacy, security, and biases in AI systems.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.

Skills

Leadership

Strategic thinking

Education

Bachelor’s degree in Computer Science, AI, Data Science, or related field

High School Diploma with 4+ years of relevant experience

Tools

Python

ML Frameworks

Cloud Platforms

NLP

Gen AI

LLM

Job description

JOB 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 115,000 colleagues serve people in more than 160 countries.

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.

Essential Duties

• Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
• Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
• Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
• Complete the development and deployment of AI models and algorithms to solve complex problems.
• Stay updated on advancements in AI research and technology to guide initiatives.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Coach, support, and provide mentorship for team members.
• Champion ethical AI practices and ensure compliance with regulatory standards.
• Address issues related to data privacy, security, and biases in AI systems.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor’s Degree.
• Demonstrated expertise in designing and deploying cutting‑edge AI solutions that drive measurable business impact.
• Demonstrated understanding of ethical considerations in AI systems.
• 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Preferred Qualifications

• Experience designing and deploying Gen AI solutions at scale.
• Experience fine tuning LLMs, SLMs, teacher‑student frameworks and model distillation
• Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g. DPO
• Familiarity with Agentic framework platforms and concepts.
• Experience deploying agentic‑based solutions is a plus.

The base pay for this position is $99,300.00 – $198,700.00. In specific locations, the pay range may vary from the range posted.

Job Details

• JOB FAMILY: Product Development
• DIVISION: ONCO Cancer Diagnostics
• LOCATION: United States > Madison : 5505 Endeavor Ln
• ADDITIONAL LOCATIONS:
• WORK SHIFT: Standard
• TRAVEL: No
• MEDICAL SURVEILLANCE: No
• SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next‑generation diagnostics, life‑changing devices, science‑based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health.

We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.