AI Engineer II

AI Engineer II

Req. #


27327

Job Family


DA - Data Analytics

Location

US-MA-Milford

Pay Range Minimum


USD $81,000.00

Pay Range Maximum


USD $135,000.00

Overview

TheAI Engineer IIsupportsthe design, development, and deployment of AI-powered applications and intelligent automation solutions. You will contribute toproductionAI solutions with modern AI platforms and tools, developing systems that create measurable business value.

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.

Qualifications

• 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 practicesin Python

• Working knowledge of machine learning, deep learning, and other AI fundamentals including model development, evaluation, and deployment.

• Understandings ofLLMs, RAG, vector search,and agentic workflows.

Nice-to-Have / Plus Qualifications

• 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

Company Description

Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

Key Words

Artificial Intelligence, AI, Machine Learning, Software Engineering, Application Development, Data Analysis, Problem Solving, Cross-Functional Collaboration, Continuous Learning, Innovation.