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. JOB DESCRIPTION: 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 Include, but are not limited to, the following: 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 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: webstorage.abbott.com EEO is the Law link - Espanol: webstorage.abbott.com

Requirements

Must-haves

JOB DESCRIPTION: Position Overview
Include, but are not limited to, the following:
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.
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.
Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
Demonstrated understanding of ethical considerations in AI systems.

Nice-to-haves

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
JOB FAMILY: Product Development
DIVISION: ONCO Cancer Diagnostics
LOCATION: United States > Madison : 5505 Endeavor Ln

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Keywords to mirror

aimachine learningmlllmagilepython

Platform: workday
Effort: long

Benefits

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