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