Lead AI Solutions Engineer - Agent-Driven Enterprise AI

Bausch + Lomb; Baton Rouge (LA); On-site; USD 165,000 - 190,000; Full time

Job summary

Bausch + Lomb is seeking a Principal AI Solutions Engineer to design, build, and deploy production-ready AI agents that reason, use tools, and complete business tasks. This role sits in the AI / Digital Center of Excellence and partners across the enterprise to convert workflows into secure, scalable AI solutions.

Responsibilities include framing problems with business leaders, translating SOPs into agent steps, building agents with Python, integrating with enterprise systems, and deploying with

Qualifications

• 5+ years delivering production software solutions.
• Experience building AI agents and automations in enterprise settings.
• Hands-on with LLM APIs and agent frameworks, not just exploration.

Responsibilities

• Re-imagine enterprise work with an AI-first mindset and identify high-value AI workflows.
• Translate workflows into agent steps and validate with SMEs.
• Frame problems with business leaders and quantify potential impact.
• Build AI agents using Python to analyze data, follow procedures, call tools and complete tasks end-to-end.
• Integrate AI with APIs, data platforms, and enterprise tooling.
• Deploy production-grade AI solutions with secure access controls and monitoring.
• Ensure responsible AI with guardrails, observability, and fallback mechanisms.
• Operate within Agile delivery cycles with IT, data, security, and platform teams.

Skills

LLM APIs

Agent frameworks

Python

Consulting experience

Problem framing

Communication

Security & compliance

Education

Bachelor's degree

Advanced degree preferred

Tools

Azure Foundry AI

LLM platforms

Job description

Bausch + Lomb is seeking a Principal AI Solutions Engineer to design, build, and deploy production-ready AI agents that reason, use tools, and complete business tasks. This role sits in the AI / Digital Center of Excellence and partners across the enterprise to convert workflows into secure, scalable AI solutions.

Responsibilities include framing problems with business leaders, translating SOPs into agent steps, building agents with Python, integrating with enterprise systems, and deploying with