Enterprise AI Solutions Engineer

Bausch & Lomb GmbH; Bridgewater, Northern (MA, KY); Hybrid; USD 170,000 - 200,000; Full time

Benefits offered by this job

Incentives

Medical insurance

Retirement plan

Tuition reimbursement

Well-being benefits

Job summary

Bausch + Lomb is seeking a Forward Deployed Engineer to turn AI pilots into scalable production across the enterprise. You will work with business leaders, AI Delivery, Data, and IT to deliver production-ready AI solutions and drive adoption.

This hands-on role emphasizes process discovery, stakeholder engagement, and measurable business value, with a focus on scalable, compliant deployments and reusable patterns across divisions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Experience in software engineering, solution implementation, or digital transformation with production-quality solutions.
• Proficiency in Python and modern API/integration development on cloud platforms.
• Hands-on with generative AI, agents, ML, and workflow automation in production.
• Experience deploying enterprise tech with business users and driving adoption.

Responsibilities

• Design, code, and deploy AI-enabled solutions for enterprise environments.
• Integrate solutions with data platforms and business systems via APIs.
• Lead prototype-to-production path with testing, security, release, and monitoring.
• Contribute to standards for code quality, deployment, and responsible AI.
• Collaborate with business leaders, IT, and data teams to prioritize opportunities.

Skills

Python

APIs & integrations

Cloud platforms

Generative AI

Production deployment

Cross-functional collaboration

Stakeholder management

Education

Bachelor's degree in CS/Engineering/IS

Tools

Azure

Google Cloud

Snowflake

Copilot

Job description

Bausch + Lomb is seeking a Forward Deployed Engineer to turn AI pilots into scalable production across the enterprise. You will work with business leaders, AI Delivery, Data, and IT to deliver production-ready AI solutions and drive adoption.

This hands-on role emphasizes process discovery, stakeholder engagement, and measurable business value, with a focus on scalable, compliant deployments and reusable patterns across divisions.