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[Remote] Principal AI Solutions Engineer Job Details | Bausch+Lomb Companies Inc.

Worldwide Salaried Open

Note: The job is a remote job and is open to candidates in USA. Bausch + Lomb is a leading global eye health company dedicated to enhancing sight for millions. They are seeking a Principal AI Solutions Engineer to design, build, and deploy AI solutions that improve business processes and decision-making 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

Skills

  • 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

Benefits

  • 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.

Company Overview

  • We're a leading global eye health organization that is 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. It was founded in 1853, and is headquartered in Rochester, New York, USA, with a workforce of 10001+ employees. Its website is http://www.bausch.com.
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