AI Agent ML Engineer

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe.

We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

• Architect and develop multi-agent systems for process automation and intelligent decision-making.
• Implement reasoning, planning, and tool-use capabilities using frameworks such as Lang Chain, AutoGPT, or similar.
• Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
• Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.
• Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.
• Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.
• Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.
• Optimize models for scalability, latency, and accuracy in production environments.
• Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.
• Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.
• 3+ years experience in AI/ML engineering, agent development, process engineering, or related roles.
• Proven track record of building and deploying production-grade AI agents and ML models.
• Deep expertise in at least three of the following:
  Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.
• Strong programming skills in Python; experience with ML frameworks (PyTorch, Tensor Flow) and agent orchestration tools.
• Experience in business process analysis, process mapping, and workflow automation.
• Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).
• Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.
• Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.
• Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

Location:

This role is eligible for our hybrid work arrangement, allowing for up to two days a week in a remote work location and three days a week in our Bridgewater, NJ corporate office.

Travel: 10%

This position may be available in the following location(s): [[]]

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.

U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S.…