Lead AI Platform Engineer
Lead the design, development, and deployment of AI/ML models (including GenAI and LLMs) for healthcare applications, ensuring scalable, reliable pipelines and alignment with business goals.
- Compensation
- $99.3K–$198.7K / yr
- Location
- United States - Wisconsin - Madison
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 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
- 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.
Nice to have
- 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.
Full 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.