Remote AI Deployment & Field Engineering Lead

Bausch+Lomb; United States; Remote; USD 190,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Tuition reimbursement

Paid time off

Job summary

Bausch + Lomb seeks a Head of Forward Deployed Engineer to turn AI pilots into production solutions across manufacturing, supply chain, and quality. You will lead a small FDE team, code alongside them, and set technical standards while collaborating with AI Delivery, Data, and IT to deliver as one team.

The role emphasizes hands-on engineering (60-70%), process discovery, adoption, and coaching. You’ll drive adoption metrics and build reusable assets to accelerate future deployments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 10+ years in software engineering, solution implementation, digital transformation with production code shipping.
• Proficiency in Python and modern API/integration development; experience on Azure or Google Cloud.
• Hands-on with generative AI, agents, ML, and workflow automation in production.
• Experience deploying enterprise tech with business users and driving adoption.
• Experience leading or mentoring engineers while remaining an active contributor.

Responsibilities

• Design, code, and deploy AI-enabled solutions that run reliably in production.
• Integrate with SAP and plant/quality/supply chain platforms via APIs and data pipelines.
• Manage prototype-to-production lifecycle including testing, security, and release.

Skills

Python

APIs

Cloud platforms

AI/ML in prod

Stakeholder mgmt

Mentoring engineers

Education

Bachelor's degree

Tools

Microsoft Azure

Google Cloud

SAP integration

Job description

Bausch + Lomb seeks a Head of Forward Deployed Engineer to turn AI pilots into production solutions across manufacturing, supply chain, and quality. You will lead a small FDE team, code alongside them, and set technical standards while collaborating with AI Delivery, Data, and IT to deliver as one team.

The role emphasizes hands-on engineering (60-70%), process discovery, adoption, and coaching. You’ll drive adoption metrics and build reusable assets to accelerate future deployments.