Lead AI Engineer, Agentic AI - Hybrid (Remote/Onsite)

Bausch + Lomb

Bridgewater Township (NJ)

Hybrid

USD 150,000 - 200,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work schedule
Bridgewater, NJ corporate office

Job summary

Bausch + Lomb is seeking a Lead AI Engineer, Agentic AI Solutions, to design, build, and deploy AI-powered solutions for commercial decision-making across brand strategy, customer engagement, and analytics. This role combines AI engineering, software development, and business collaboration in a global healthcare setting.

You will work with modern AI technologies, cloud platforms, and large-scale data ecosystems, shaping enterprise-wide AI governance and reproducibility while partnering with

Qualifications

  • Bachelor’s or Master’s degree in CS, AI, ML, Engineering, or related field.
  • 5+ years building and deploying production software, AI, or ML solutions including LLM-powered apps.

Responsibilities

  • Design, build, and operate production AI agents across commercial processes.
  • Develop performance investigation and next-best-action agents.
  • Create evaluation harnesses with golden datasets and regression tests.
  • Ensure governance, compliance, and auditable results in all models.
  • Integrate agents with SAP/SFDC/Veeva and other enterprise systems.
  • Collaborate with Medical, Legal, Regulatory, Privacy, and IT for Responsible AI.
  • Operate and monitor AI solutions in production with observability and cost controls.
  • Work in Agile AI Operations with cross-functional teams.

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field

Tools

LangChain
LangGraph
CrewAI
AutoGen
LlamaIndex

Job description

Bausch + Lomb is seeking a Lead AI Engineer, Agentic AI Solutions, to design, build, and deploy AI-powered solutions for commercial decision-making across brand strategy, customer engagement, and analytics. This role combines AI engineering, software development, and business collaboration in a global healthcare setting.

You will work with modern AI technologies, cloud platforms, and large-scale data ecosystems, shaping enterprise-wide AI governance and reproducibility while partnering with

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