AI Agent ML Engineer

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 + Lomb's departments. This hybrid role blends hands‑on engineering with strategic vision, ensuring AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus is to understand complex business processes and translate 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 of 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 areas: 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. Compensation and Benefits 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, well‑being benefits, sick time, floating holidays and paid vacation. 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. #J-18808-Ljbffr