Principal AI Solutions Engineer

Bausch + Lomb; Trenton (NJ); On-site; USD 165,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan with company match

Tuition reimbursement for select degrees

Paid vacation and sick time

Job summary

A global healthcare company is seeking a Principal AI Solutions Engineer to design and deploy production-ready AI solutions. This hands-on role requires collaborating with business leaders to create AI-driven transformations and developing functionalities using Python and enterprise AI platforms. Candidates must have at least 5 years of software engineering experience, strong communication abilities, and expertise building solutions with LLM APIs. The role offers competitive compensation and comprehensive benefits.

Qualifications

• Minimum of 5 years of experience in software engineering, delivering production solutions.
• Experience building with LLM APIs preferred.
• Strong ability to translate workflows into enterprise solutions.

Responsibilities

• Diagnose end-to-end processes for AI-driven transformation.
• Map workflows into agent-friendly steps.
• Partner with business leaders for clear AI solution hypotheses.
• Develop agents using Python for task completion.
• Integrate logic layers across enterprise systems.
• Use enterprise AI platforms for secure deployments.
• Implement observability and reliability practices.
• Manage work through Agile cycles.

Skills

Software engineering

Python

AI solution development

Communication skills

Education

Bachelor's degree in business, Engineering, Computer Science, or related field

Tools

Azure AI Foundry

LLM APIs

Job description

Position Summary

The Principal AI Solutions Engineer is a hands‑on individual contributor responsible for designing, building, and deploying production‑ready AI solutions, with a strong focus on AI agents that reason, use tools, and complete end‑to‑end business tasks. The Principal AI Solutions Engineer sits within the AI / Digital Center of Excellence (CoE) and partners across the enterprise to convert real workflows, SOPs, and decision logic into secure, scalable AI‑driven solutions.

The Principal AI Solutions Engineer blends deep engineering execution with a consulting mindset. You will work directly with business leaders to frame problems, identify value, and deliver AI agents that measurably improve speed, cost, quality, or cycle time. Success is defined by solutions shipped, adopted, and delivering impact, not slideware. The Principal AI Solutions Engineer has no people management responsibilities and is strongly build‑first.

Key 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.

Preferred Experience

• 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.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Compensation

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000.00 and $190,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.

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.