Lead AI Deployment & Forward‑Deployed Engineering

Bausch + Lomb; San Juan (PR); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Short-term incentives

Long-term incentives

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

401(k) with company match

Tuition reimbursement

Company holidays

Well-being benefits

Sick time

Floating holidays

Paid vacation

Job summary

Bausch + Lomb is seeking a Head of Forward Deployed Engineer to turn AI pilots into production capability across manufacturing, supply chain, quality, and logistics. This hands-on leader will ship production‑ready AI solutions, mentor a small FDE team, and work with AI Delivery, Data, and IT to unify delivery as one team.

The role requires 10+ years in software engineering, strong Python/API experience, and success deploying enterprise tech with business users in regulated environments.

Qualifications

• Bachelor's degree in computer science, engineering, information systems, or a related field.
• 10+ years in software engineering, solution implementation, digital transformation, with a strong record of shipping production code.
• Proficiency in Python and modern API and integration development, with experience building on cloud platforms such as Microsoft Azure or Google Cloud.
• Hands-on experience with generative AI, agents, ML, and workflow automation in production.
• Demonstrated experience deploying enterprise technology directly with business users, including driving adoption.
• Experience leading or mentoring engineers while remaining an active contributor.
• Strong analytical, troubleshooting, and stakeholder management skills, with the ability to translate between plant floor and engineering language.

Responsibilities

• Build and deploy AI-enabled solutions (generative AI, agents, ML, workflow automation) that run reliably.
• Integrate with enterprise systems such as SAP and plant, quality, and supply chain platforms through APIs and data pipelines.
• Own the path from prototype to production: testing, user acceptance, security and 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 actually gets done.
• Run workflow assessments, identify high-value use cases, and redesign processes around AI rather than layering tools on top of legacy steps.
• Resolve technical and operational issues quickly in the field.
• Treat adoption as a deliverable. Define adoption and value metrics for every deployment and track them after go‑live.
• Build training materials, user guides, and deployment playbooks. Facilitate workshops and train end users.
• Identify and develop local champions within each function.
• Capture user feedback and deployment learnings and feed them to the Enterprise AI team to shape product priorities.
• Coach and mentor FDEs, setting standards for code quality, deployment, and documentation.
• Prioritize work across GPS functions with business owners and the AI leadership team.
• Build reusable assets (patterns, templates, connectors, playbooks) so each deployment makes the next one faster.
• Collaborate with AI Delivery, Data, and IT on architecture, data access, security, and platform standards.

Skills

Python

APIs

Cloud platforms

Generative AI

ML

Production deployment

Adoption

Stakeholder management

Mentoring

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Tools

Microsoft Azure

Google Cloud

APIs & integration

Copilot / AI platforms

Job description

Bausch + Lomb is seeking a Head of Forward Deployed Engineer to turn AI pilots into production capability across manufacturing, supply chain, quality, and logistics. This hands-on leader will ship production‑ready AI solutions, mentor a small FDE team, and work with AI Delivery, Data, and IT to unify delivery as one team.

The role requires 10+ years in software engineering, strong Python/API experience, and success deploying enterprise tech with business users in regulated environments.