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Closed listing

Bausch + Lomb

Head of Forward Deployed Engineering

Trenton, NJ, United States

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $190,000.00 and $240,000.00.

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: For U.S. locations that require disclosure of compensation, the starting pay for this role is between $190,000.00 and $240,000.00.
Posting language: English
Posted: Oct 9, 2026

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Original job description

Archived listing. The details below describe a past opening.

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Position overview

Bausch + Lomb is seeking a Head of Forward Deployed Engineer (FDE) to turn AI from pilots into production capability across B+L. This is a hands-on builder role embedded in manufacturing, supply chain, quality, procurement, engineering, and logistics teams. You will ship production-ready AI solutions inside real operating environments and make sure people use them.

You will also lead a small team of FDEs as a player-coach: you build alongside them, set the technical standard, and develop their skills. You will work closely with business leaders, AI Delivery, Data, and IT to deliver as one team.

How the role works

Roughly 60-70% hands-on engineering: building, integrating, testing, and hardening solutions to production standards.
The remainder is split between process discovery, change management and adoption, and coaching the FDE team.
Success is measured by adoption and business outcomes, not by prototypes delivered.

Key responsibilities

Build and deploy

Design, code, 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.

Embed and diagnose

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.

Drive adoption and change

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.

Lead the FDE team

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 across the enterprise

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.

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.

Preferred qualifications

Experience in manufacturing, supply chain, pharmaceutical, medical device, healthcare, or other regulated industries.
Experience with Microsoft Copilot, Azure AI services, Claude, or other enterprise AI platforms.
Experience with data platforms (Snowflake, Microsoft Fabric, OneLake, or similar) and with GxP or validated-system environments.
Experience leading large-scale digital transformation or change programs.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $190,000.00 and $240,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.

U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

To learn more please read Bausch + Lomb's Job Offer Fraud Statement (https://performancemanager.successfactors.eu/doc/custom/BauschLomb/Bausch_job_posting_statement.docx)

Our US Benefit Programs Employee Benefits: Bausch + Lomb (https://www.bausch.com/careers/benefits/)

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

About employer

More about this job

Skills

Change management
Coaching
ML
Workflow
SAP
Supply chain management
Regulatory compliance
Documentation
GPS
Computer science
Python
Microsoft Azure
Google Cloud
Troubleshooting
Stakeholder management
Snowflake

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