AI Agent ML Engineer
Bausch + Lomb · United States
- Hybrid
- Full-time
- $180,000 / year
- United States
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Job highlights
- Design and build advanced AI agents for automation.
- Implement agent reasoning, planning, and tool-use.
- Integrate agents with enterprise systems.
- Analyze and optimize business processes via AI.
- Deploy and fine-tune ML and LLM models.
About the role
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
Skills & topics
- AI Agent
- Machine Learning Engineer
- AI
- Machine Learning
- Deep Learning
- Python
- LangChain
- AutoGPT
- LLM
- Process Automation
- Agent Orchestration
- Data Engineering
- Responsible AI
- Agile
- Computer Science
- Engineering
How to get hired
- 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.
Technical preparation
Practice Python for ML and agent development.,Build a prototype AI agent using LangChain.,Experiment with LLM fine-tuning and prompt engineering.,Set up and query a vector database.
Behavioral questions
Describe a complex business process you automated.,How do you ensure AI systems are ethical?,Tell me about a time you collaborated cross-functionally.,How do you manage AI project backlogs and sprints?
Frequently asked questions
- What is the salary range for the AI Agent ML Engineer role at Bausch + Lomb?
- For U.S. locations, the estimated starting salary range for the AI Agent ML Engineer position at Bausch + Lomb is between $165,000 and $190,000 annually. The actual salary offered will depend on various factors, including your experience and qualifications.
- Does Bausch + Lomb offer remote work for the AI Agent ML Engineer position?
- The AI Agent ML Engineer role at Bausch + Lomb is described as a hybrid role, indicating a blend of on-site and remote work. Specific details about the hybrid arrangement should be discussed during the interview process.
- What are the key technical skills required for the AI Agent ML Engineer job at Bausch + Lomb?
- Key technical skills include strong Python programming, experience with ML frameworks like PyTorch or TensorFlow, agent orchestration tools (e.g., LangChain), ML model development, data engineering, API integration, and familiarity with prompt engineering and vector databases.
- What is Bausch + Lomb's stance on visa sponsorship for the AI Agent ML Engineer role?
- Bausch + Lomb is unable to sponsor or take over sponsorship of an employment visa for this position at this time. Applicants must be authorized to work for any employer in the U.S.
- How important is experience with business process analysis for this AI Agent ML Engineer role?
- Experience in business process analysis, mapping, and translating requirements into agentic frameworks is a key focus for this role. It's crucial for understanding complex business needs and developing effective automation solutions using AI agents.
- What are the benefits offered to employees in this AI Agent ML Engineer position?
- U.S. based employees are eligible for a comprehensive benefits package including 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, well-being benefits, sick time, floating holidays, and paid vacation.
- Can you explain the 'Responsible AI' aspect of the AI Agent ML Engineer role?
- Championing Responsible AI practices involves ensuring that AI systems are developed and deployed ethically and safely. This includes implementing monitoring, guardrails, and adhering to governance standards to ensure AI systems are fair, transparent, and compliant.