AI Engineer II

Waters CorporationMilford, MA
$81,000 - $135,000

About The Position

The AI Engineer II supports the design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute to production AI solutions with modern AI platforms and tools, developing systems that create measurable business value.

Requirements

  • Master's degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, or a related field, or equivalent practical experience. Plus 2+ years of relevant experience.
  • Comfortable with OOP and functional software engineering practices in Python
  • Working knowledge of machine learning, deep learning, and other AI fundamentals including model development, evaluation, and deployment.
  • Understandings of LLMs, RAG, vector search, and agentic workflows.

Nice To Haves

  • Graduate-level AI research experience.
  • Experience building software applications, APIs, or technical solutions in collaborative development environments using source control.
  • Experience with AWS or Microsoft cloud infrastructure

Responsibilities

  • Design, develop, and support AI-powered applications, copilots, assistants, and intelligent workflows that improve business productivity and process effectiveness.
  • Build solutions leveraging large language models (LLMs), machine learning models, and knowledge-based systems to address business challenges and enable intelligent decision-making.
  • Integrate AI capabilities with enterprise applications, data sources, and business processes to deliver scalable and reusable solutions.
  • Develop and maintain high-quality APIs, services, and application components following established software engineering standards and best practices.
  • Monitor, evaluate, and optimize AI solution performance by identifying and resolving issues related to models, data quality, reliability, and user experience.
  • Collaborate with AI engineers, data engineers, and business stakeholders to design and deliver solutions that meet business and technical requirements.
  • Stay current on emerging AI technologies, tools, and engineering practices through research, experimentation, and continuous learning to drive innovation and solution effectiveness.
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