Forward-Deployed AI Deployment Lead

Bausch + Lomb

Frankfort (KY)

On-site

USD 190,000 - 240,000

Full time

7 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with match
Tuition reimbursement
Paid time off

Job summary

Bausch + Lomb in the United States is seeking a Head of Forward Deployed Engineer to turn AI pilots into production capabilities across manufacturing, supply chain, and quality. You will lead a small FDE team and work with AI Delivery, Data, and IT to deploy production-ready AI solutions in real environments.

The role requires 10+ years in software engineering, hands-on development in Python and cloud platforms, and a track record shipping production code while driving adoption and value across

Qualifications

  • Bachelor's degree in computer science, engineering, information systems, or related field.

Responsibilities

  • Design, code, and deploy AI-enabled solutions (generative AI, agents, ML, workflow automation) that run reliably.
  • Own the path from prototype to production: testing, user acceptance, security & compliance review, release, monitoring, and post-deployment support.
  • Apply validation and documentation practices appropriate to a regulated environment.
  • Work side by side with plant leaders, planners, buyers, and quality teams to understand how work is actually done.
  • Run workflow assessments, identify high-value use cases, and redesign processes around AI.

Skills

Python
API development
Cloud platforms
Generative AI
Stakeholder management
Mentoring
Testing & production

Education

Bachelor's degree in computer science, engineering, information systems

Tools

Microsoft Azure
Google Cloud
APIs
SAP
Copilot
Azure AI services

Job description

Bausch + Lomb in the United States is seeking a Head of Forward Deployed Engineer to turn AI pilots into production capabilities across manufacturing, supply chain, and quality. You will lead a small FDE team and work with AI Delivery, Data, and IT to deploy production-ready AI solutions in real environments.

The role requires 10+ years in software engineering, hands-on development in Python and cloud platforms, and a track record shipping production code while driving adoption and value across

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