AI Engineer II - Machine Learning Engineer at Waters Corporation
Overview
The AI Engineer II leads design development and deployment of AI-powered applications and intelligent automation solutions. This role focuses on creating measurable business value through modern AI platforms and tools. The position requires contributions to production systems that enhance productivity and process effectiveness.
What You'll Do8
- 1Design develop and support AI-powered applications copilots assistants and intelligent workflows that improve business productivity
- 2Build solutions leveraging large language models machine learning models and knowledge-based systems to solve business challenges
- 3Integrate AI capabilities with enterprise applications data sources and business processes to deliver scalable solutions
- 4Develop and maintain high-quality APIs services and application components following software engineering standards
- 5Monitor evaluate and optimize AI solution performance by addressing model data quality reliability and user experience issues
- 6Collaborate with AI engineers data engineers and business stakeholders to design and deliver solutions
- 7Stay current on emerging AI technologies through research experimentation and continuous learning
- 8Drive innovation and solution effectiveness by exploring cutting-edge AI advancements
Requirements8
- 1Master's degree in Artificial Intelligence Computer Science Machine Learning Data Science Software Engineering or related field or equivalent practical experience
- 22+ years of relevant experience
- 3Comfortable with object-oriented programming and functional software engineering practices in Python
- 4Working knowledge of machine learning deep learning and AI fundamentals including model development evaluation and deployment
- 5Understanding of LLMs RAG vector search and agentic workflows
- 6Graduate-level AI research experience
- 7Experience building software applications APIs or technical solutions in collaborative environments using source control
- 8Experience with AWS or Microsoft cloud infrastructure
Salary Insight
$81 - $135k per year
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
Honeywell
VerifiedSr. Advanced AI Software Engineer - Honeywell
As a Sr. Advanced AI Software Engineer, you will own the development and deployment of AI/ML systems at scale for Honeywell's industrial software products, used in critical sectors. You will architect and ship production-grade solutions using LLMs, generative AI, and RAG pipelines, while driving MLOps and CI/CD workflows. Reporting to the Director of Engineering, you will work from Phoenix with a hybrid schedule, collaborating with product and platform teams to deliver measurable business outcomes. This role stands out for its focus on leading AI strategy and mentoring engineers, with a direct impact on high-growth industrial markets.
PRICE WATERHOUSE COOPERS
VerifiedAI Engineering Manager, Machine Learning & Cloud
As an AI Engineering Manager at PwC, you own the delivery of AI solutions for enterprise clients, leading cross-functional teams to integrate machine learning models into production. You manage complex data projects from planning through deployment, balancing technical depth with strategic oversight. You mentor engineers, drive innovation, and ensure every model ships with GitHub Actions in scalable, cloud-native environments. This role offers a rare blend of hands-on AI engineering and client leadership, with direct impact on global financial services.

JBC powered by Workgenius
VerifiedSoftware Engineer II Production AI
Lead development of production AI systems for gaming industry. Own AI pipeline design and implementation. Drive AI adoption across internal teams. Scale solutions for high performance. Differentiate through deep technical expertise.
Midstream
VerifiedAI Solutions Architect - Midstream
Lead technical discovery and shape product strategy for Applied AI Solutions Architect role at Midstream. Partner with prospective customers to understand technical landscapes and drive AI adoption. This is a high-impact, customer-facing position focused on establishing technical foundations and scaling solutions.
Dynamics ATS Organic
VerifiedAI Integration Engineer Manager Detroit
Lead AI integration initiatives across engineering and accounting teams at a national engineering and equipment company in Wixom Michigan. Own end-to-end projects to evaluate AI opportunities and recommend scalable improvements. Drive cross-functional collaboration to streamline operations and enhance productivity. This role offers competitive compensation and comprehensive benefits.

Wise Skulls Corp.
VerifiedAI Engineer (LLM Agents & Data Engineering)
Lead design and delivery of AI solutions that scale across multiple platforms. Own the end-to-end pipeline from concept to production while driving innovation in large language models. This role shapes how our systems learn and adapt.