Job Overview
Job TitleAI Agent ML Engineer
Job TypeFull Time
Offered Salary$180,000
LocationHybrid
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Job Description
About Bausch + Lomb
Bausch + Lomb is a leading global eye health company dedicated to protecting and enhancing sight. With a history spanning over 170 years, we offer a comprehensive portfolio of over 400 products and have a significant global footprint with approximately 13,000 employees in about 100 countries. Our mission is to help people see better, to live better.AI Agent & ML Engineer Role
The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models. This role focuses on enabling process automation and decision support across Bausch + Lomb's departments. It involves hands-on engineering, strategic vision, robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus is understanding complex business processes and translating them into agentic frameworks for automation and optimization.Key Responsibilities
- 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.
Qualifications
- Bachelor’s or Master’s 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, 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.
Equal Opportunity Employer Statement
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.Compensation and Benefits (U.S. Based)
For U.S. locations, the starting pay for this role is between $165,000 and $190,000. The actual base salary offered may depend on various factors. U.S. based employees may be eligible for short-term and/or long-term incentives, medical, dental, vision insurance, disability and life insurance, a 401(k) plan with company match, tuition reimbursement, company holidays, and well-being benefits. Sick time, floating holidays, and paid vacation are also provided.Important Applicant Information
Applicants should be aware of job offer scams. Please read Bausch + Lomb's Job Offer Fraud Statement. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Key skills/competency
- AI Agent Development
- Machine Learning Engineering
- Process Automation
- Agent Orchestration
- LLM Deployment
- Python Programming
- Data Engineering
- Responsible AI
- Agile Methodologies
- Business Process Analysis
How to Get Hired at Bausch + Lomb
- Tailor your resume: Highlight AI agent development, ML engineering, and process analysis experience with specific Python and ML framework skills.
- Showcase impactful projects: Emphasize your track record of deploying production-grade AI agents and ML models, including any LLM or prompt engineering experience.
- Quantify achievements: Use data to demonstrate how your work improved efficiency, automated processes, or supported decision-making.
- Prepare for technical and behavioral interviews: Be ready to discuss your understanding of agent orchestration, Responsible AI, and your experience in Agile environments.
- Research Bausch + Lomb: Understand their commitment to eye health and how AI can support their mission.
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