Enterprise AI Deployment Engineer

Bausch & Lomb GmbH; Bridgewater Township (NJ); Hybrid; USD 170,000 - 200,000; Full time

Benefits offered by this job

Hybrid work

Competitive salary

Incentive program

Job summary

Bausch + Lomb is seeking a Forward Deployed Engineer to turn AI pilots into scalable production capabilities across the enterprise. The role is hands-on, embedded with business divisions, and focuses on delivering production-ready AI solutions with measurable business value.

You will work with AI Delivery, Data, and IT to drive adoption and reusable approaches. Ideal candidates bring strong engineering judgment, Python/API skills, and experience deploying AI in regulated or enterprise

Qualifications

• Bachelor's or equivalent practical experience in a related field.
• Experience shipping production-quality software/solutions.
• Proficiency in Python and API development on cloud platforms.
• Hands-on experience with generative AI, ML, and workflow automation.

Responsibilities

• Build, test, and deploy AI-enabled solutions for production environments.
• Collaborate with business units, IT, and data teams to translate needs into scalable AI deployments.
• Ensure security, compliance, and governance throughout the deployment lifecycle.
• Capture adoption metrics and drive value realization post go-live.

Skills

Python

API development

Cloud platforms

Generative AI

Machine learning

Workflow automation

Production deployment

Stakeholder management

Cross-functional collaboration

Engineering judgment

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Microsoft Azure

Google Cloud

Snowflake

Copilot/Enterprise AI platforms

Job description

Bausch + Lomb is seeking a Forward Deployed Engineer to turn AI pilots into scalable production capabilities across the enterprise. The role is hands-on, embedded with business divisions, and focuses on delivering production-ready AI solutions with measurable business value.

You will work with AI Delivery, Data, and IT to drive adoption and reusable approaches. Ideal candidates bring strong engineering judgment, Python/API skills, and experience deploying AI in regulated or enterprise