Director, Forward-Deployed AI Engineering

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

Benefits offered by this job

Medical, dental, vision benefits

401(k) with company match

Tuition reimbursement

Job summary

Bausch + Lomb seeks a Head of Forward Deployed Engineer to turn AI pilots into production capability across manufacturing, supply chain, quality, and procurement. You will lead a small FDE team, build production-ready AI solutions, and align with business leaders to deliver measurable outcomes.

The role combines hands-on engineering with coaching, setting technical standards, and collaborating with AI Delivery, Data, and IT to drive adoption and value realization across the enterprise.

Qualifications

• 10+ years in software engineering or solution implementation with a track record of shipping production code.
• Proficiency in Python and modern API/integration development.
• Hands-on experience with generative AI, agents, ML, and workflow automation in production.
• Experience deploying enterprise technology with business users and driving adoption.
• Experience mentoring engineers while remaining an active contributor.

Responsibilities

• Build and deploy AI-enabled solutions (generative AI, agents, ML, workflow automation) that run in production.
• Embed and diagnose by collaborating with plant leaders, planners, buyers, and quality teams to improve processes.
• Drive adoption by defining metrics, creating training materials, and building deployment playbooks.

Skills

Software engineering

Python

API/integration

AI deployment

Leadership/mentoring

Education

Bachelor's degree in CS/Engineering/IS

Tools

Azure

Google Cloud

Snowflake/Fabric

Job description

Bausch + Lomb seeks a Head of Forward Deployed Engineer to turn AI pilots into production capability across manufacturing, supply chain, quality, and procurement. You will lead a small FDE team, build production-ready AI solutions, and align with business leaders to deliver measurable outcomes.

The role combines hands-on engineering with coaching, setting technical standards, and collaborating with AI Delivery, Data, and IT to drive adoption and value realization across the enterprise.