AI Platform Lead: GenAI, LLMs & Scalable ML

Abbott

Madison (WI)

On-site

USD 99,000 - 199,000

Full time

14 days+

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Job summary

Abbott Laboratories is seeking a Lead Engineer, Artificial Intelligence to drive strategic AI initiatives and oversee technical execution across ML, NLP, and generative AI domains. You will guide model development, ensure production readiness, and mentor a multidisciplinary team while upholding ethical AI practices and regulatory compliance.

The role emphasizes scalable, reliable AI systems, collaboration with data scientists and engineers, and staying at the forefront of AI research to deliver

Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field, or 4+ years in lieu of degree.
  • Experience designing and deploying AI solutions that drive measurable business impact.
  • Understanding of ethical considerations in AI systems.
  • 3+ years of project leadership including Agile/SAFe frameworks.
  • Strong ability with ML frameworks and Python; experience with cloud platforms.

Responsibilities

  • Lead ML, NLP, and LLM deliverables in support of AI strategies.
  • Collaborate with data scientists and software engineers to productionize models.
  • Develop and deploy AI models and algorithms to solve complex problems.
  • Advance Gen AI, NLP, and RAG pipelines with end-to-end solutions.
  • Mentor team members and promote ethical AI practices; ensure compliance with standards.

Skills

Machine Learning
Natural Language Processing
Generative AI
Python
Cloud Platforms
Leadership
Agile / SAFe
Data Privacy & Security

Education

Bachelor's degree in Computer Science, AI, Data Science or related field
High School Diploma with 4+ years relevant experience

Job description

Abbott Laboratories is seeking a Lead Engineer, Artificial Intelligence to drive strategic AI initiatives and oversee technical execution across ML, NLP, and generative AI domains. You will guide model development, ensure production readiness, and mentor a multidisciplinary team while upholding ethical AI practices and regulatory compliance.

The role emphasizes scalable, reliable AI systems, collaboration with data scientists and engineers, and staying at the forefront of AI research to deliver

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