Principal AI Solutions Engineer

Bausch + Lomb is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people. The Principal AI Solutions Engineer is responsible for designing, building, and deploying production-ready AI solutions, focusing on AI agents that improve business tasks and workflows.

Responsibilities:

• Re-imagine enterprise work with an AI-first mindset: Diagnose end-to-end processes and identify high-value workflows suitable for AI-driven transformation
• Process-to-agent translation: Map workflows, SOPs, controls, and decision logic; facilitate working sessions with business SMEs to decompose them into agent-friendly steps (reasoning, execution, validation, escalation, human-in-the-loop)
• Consultative problem framing & value prioritization: Partner with business leaders to structure ambiguous problems, quantify impact, and translate them into clear AI solution hypotheses
• Build AI agents (hands-on): Develop agents using Python and modern agent frameworks to analyze information, follow procedures, call tools/APIs, and complete tasks end-to-end
• Integrate with enterprise systems: Build logic layers and integrations across APIs, workflow tools, data platforms, and approved enterprise data sources
• Deploy securely to production: Use enterprise AI platforms (e.g., Azure AI Foundry) with appropriate security, access controls, monitoring, and reliability practices
• Production quality & Responsible AI: Implement guardrails, observability, evaluation, and fallback mechanisms to ensure safe and reliable operation
• Operate in Agile delivery cycles: Manage work through backlogs, iterative releases, and measurable outcomes in close collaboration with IT, data, security, and platform teams

Requirements:

• Bachelor's degree in business, Engineering, Computer Science, Information Systems, or a related field; advanced degree preferred
• 5+ years of experience in software engineering, automation, process engineering, or related technical roles delivering production solutions
• 1+ year hands-on experience building with LLM APIs and/or agent frameworks (not just experimentation, shipping is preferred)
• Experience operating in consulting-style or advisory roles, including problem structuring, executive communication, and influencing without authority
• Proven ability to translate ambiguous workflows into scalable enterprise solutions
• Strong communication skills to translate between business needs and technical implementation
• Experience deploying solutions using enterprise AI platforms and services (e.g., Azure Foundry AI capabilities and deployment patterns)
• Familiarity with a “model garden” approach (using multiple LLM providers/models through a unified platform) and selecting the right model for task quality, latency, and cost
• Experience in regulated, complex, or global enterprise environments; comfort operating with security/compliance constraints
• Background in process transformation, operational excellence, or management consulting style problem solving, including hypothesis-driven analysis and executive-level communication