Bausch + Lomb is looking for an AI Agent & ML Engineer who will design, build, and optimize intelligent agents powered by advanced machine learning models to enable process automation and decision support across the company. This hybrid role blends hands-on engineering with strategic vision to deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows.
What You'll Do
- Architect and develop multi-agent systems for process automation and intelligent decision-making.
- Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, 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.
What We're Looking For
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a 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, TensorFlow) 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.
Technical Stack
- Python
- PyTorch
- TensorFlow
- LangChain
- AutoGPT
- Pinecone
- Weaviate
Team & Environment
You will operate in a matrix environment, collaborating cross-functionally with teams across IT, business, and user experience.
Benefits & Compensation
- Medical, dental, and vision insurance
- Disability and life insurance
- 401(k) plan and company match
- Tuition reimbursement program (for select degrees)
- Company holidays
- Well-being benefits
- Sick time
- Floating holidays
- Paid vacation
- Short-term and/or long-term incentives
- Compensation: $165,000 and $190,000
Work Mode
This is a hybrid position based in Bridgewater, NJ.
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.
