Principal AI Solutions Engineer

Bausch + Lomb is a leading global eye health company dedicated to enhancing the gift of sight. 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 across the enterprise.

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