AI Solutions Engineer

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 world—from 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 Summary

The AI Solutions Engineer is an early‑career, hands‑on individual contributor who supports the design, development, and deployment of AI‑driven solutions across the enterprise. This role sits within the AI / Digital Center of Excellence (CoE) and works closely with senior AI engineers, product owners, and business partners to help translate workflows and processes into scalable, production‑ready AI solutions.

This role is build‑focused and execution‑oriented, with an emphasis on learning modern AI agent patterns, enterprise engineering practices, and responsible AI delivery. You will contribute to AI agents that analyze information, use tools, and automate defined business tasks under the guidance of more senior engineers. This role has no people management responsibilities and is designed to develop strong technical and consulting foundations over time.

Key Responsibilities

• Support AI‑first process transformation: Assist in analyzing business workflows, SOPs, and decision logic to identify opportunities for AI‑enabled automation and efficiency.
• Workflow decomposition & documentation: Work with senior engineers and business SMEs to document workflows and break them into structured, agent‑ready steps (e.g., reasoning, execution, validation, escalation, human‑in‑the‑loop).
• Build and enhance AI agents (hands‑on): Contribute to the development of AI agents using Python and approved frameworks to perform defined tasks, call APIs, and follow procedural logic.
• System and data integration support: Help integrate AI solutions with enterprise systems, APIs, workflow tools, and approved data sources following established patterns.
• Assist with secure production deployment: Support deployments using enterprise AI platforms (e.g., Azure AI Foundry) with proper access controls, monitoring, and reliability practices.
• Responsible AI & quality practices: Implement guardrails, testing, documentation, and evaluation techniques to ensure safe and reliable AI behavior.
• Agile delivery participation: Contribute to sprint planning, backlog execution, testing, and iterative releases in collaboration with IT, data, security, and platform teams.
• Continuous learning: Stay current on AI tools, agent architectures, and enterprise deployment practices, applying learnings under guidance.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Systems, Business, or a related field.
• 1-3 years of experience in software engineering, automation, data engineering, or related technical roles.
• Hands‑on exposure to LLM APIs and/or AI agent frameworks, with at least some experience contributing to shipped solutions (internships, co‑ops, or production work).
• Ability to follow structured problem‑solving approaches and translate guidance into working code.
• Strong written and verbal communication skills, with the ability to collaborate across technical and non‑technical teams.

Preferred Experience

• Familiarity with enterprise cloud or AI platforms (e.g., Azure‑based AI or data services).
• Exposure to multiple LLMs or models and an understanding of trade‑offs such as cost, latency, and quality.
• Experience working in regulated or enterprise environments with security, compliance, or data‑privacy considerations.
• Interest in process improvement, automation, or consulting‑style problem solving.

This position may be available in the following location(s): Bridgewater, NJ - hybrid

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 $125,000.00 and $155,000.00.  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.

Our Benefit Programs: Employee Benefits: Bausch + Lomb

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.