Head of AI Deployment & Field Engineering

Bausch + Lomb; Annapolis (MD); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

401(k) match

Healthcare benefits

Tuition reimbursement

Job summary

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

The role emphasizes deployment, adoption, and measurable business outcomes with strong integration to SAP and plant systems, plus governance in a regulated environment.

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.
• Partner with AI Delivery, Data, and IT on architecture, data access, security, and platform standards.
• Escalate platform gaps and reuse enterprise components instead of building one-off solutions.

Skills

Python

APIs & integration

Generative AI / ML

Leadership / mentoring

Production software delivery

Stakeholder management

Cloud platforms (Azure/Google Cloud)

Hands-on engineering

Problem solving

Regulated environments

Education

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

Tools

Microsoft Azure

Google Cloud

Snowflake

Microsoft Copilot

Azure AI

Claude

Fabric

Job description

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

The role emphasizes deployment, adoption, and measurable business outcomes with strong integration to SAP and plant systems, plus governance in a regulated environment.