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Principal Engineer, AI Architect

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Published
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16 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

LivePerson is seeking a Principal Engineer and AI Architect to define and deliver next-generation enterprise conversational AI products using generative AI. The role owns cloud-native architecture, technical direction, scalable implementation, and adoption of modern AI tools and services. It requires deep full-stack engineering experience, enterprise SaaS architecture expertise, and a proven record of shipping AI products to production. This senior technical leader will mentor engineering teams and partner closely with product leadership and other principal engineers. The position is fully remote for candidates in the United States.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a principal-level architecture role requiring 13+ years of full-stack development, substantial enterprise SaaS design experience, and at least five years of production AI delivery. Success depends on making high-impact technical decisions while influencing multiple engineering teams and product stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$200,000
US market range$190k–$260k
AI insightThe disclosed annual salary range is $190,000–$210,000 USD, with a midpoint of $200,000. For a US-based Principal Engineer / AI Architect with enterprise SaaS, cloud architecture, and production generative-AI expertise, an estimated base-salary market range is approximately $190,000–$260,000 USD; total compensation may be higher depending on equity and incentives.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you architect a production-grade generative AI capability for an enterprise conversational platform?

I would begin with the customer use case, risk profile, latency targets, and measurable quality criteria. The architecture would separate orchestration, model access, retrieval and knowledge services, guardrails, observability, and evaluation pipelines, with strong tenant isolation and data-governance controls. I would deploy incrementally behind feature flags, monitor quality and cost, and use offline and online evaluations to continuously improve outcomes.

Describe how you make cloud-native systems resilient and scalable.

I design around clear service boundaries, horizontal scaling, asynchronous processing where appropriate, idempotent operations, and well-defined failure handling. I also establish service-level objectives, capacity plans, distributed tracing, alerting, and disaster-recovery procedures. Resilience is validated through automated testing, load testing, and controlled failure exercises rather than assumed from the design.

How do you lead technical direction across several engineering teams without becoming a bottleneck?

I set a concise architecture vision, decision principles, and reusable platform standards while empowering teams to own implementation details. I use lightweight architecture reviews, written decision records, and regular technical forums to align teams early. Mentorship and clear interfaces help teams move independently while preserving consistency in security, reliability, and product quality.

What is your approach to evaluating and adopting a new AI model, vendor, or tool?

I assess the tool against a representative evaluation suite covering task quality, safety, latency, cost, reliability, data handling, and operational fit. I validate claims with a controlled proof of concept and define fallback behavior before production adoption. A rollout should include monitoring, cost controls, security review, and an exit strategy to avoid unnecessary vendor lock-in.

How would you partner with Product to translate an AI vision into an executable roadmap?

I would work with Product to define the target user workflows, expected business impact, success metrics, and constraints such as privacy and time to market. I would then break the vision into incremental releases that validate the highest-risk assumptions first. Throughout delivery, I would make technical tradeoffs explicit so product decisions balance capability, reliability, cost, and long-term maintainability.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Location: USA Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world’s leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

Our goal is to deliver the next-generation of Conversational AI (CAI) by leveraging and creating the latest in Generative AI technology. We are looking for a Principal Engineer, AI Architect to design and implement the latest Generative AI based solution, reporting directly to the Head of Architecture. This role includes working with the innovation team and other Principal engineers. As an architect, the engineer will be instrumental in shaping the AI vision of LivePerson.

You Will: Key Responsibilities & Impact

  • Architect and build next-generation Conversational AI products that push the boundaries of what’s possible
  • Lead and mentor engineering teams, setting technical direction and best practices
  • Partner with Product to shape requirements and translate vision into scalable solutions
  • Design cloud-native architectures that are resilient, scalable, and built for the future
  • Integrate cutting-edge AI tools and services, championing their adoption across the team
  • Drive engineering excellence through comprehensive test automation and quality-first delivery

You Have: Required Skills & Qualifications

  • 13+ years building full-stack applications with Java and Node.js (Python and Vue.js are a plus)
  • Bachelor’s or Master’s degree in Computer Science, Communications, or related field
  • 7+ years designing and architecting enterprise-grade SaaS Products
  • 5+ years shipping AI products to production
  • Deep experience with cloud platforms (GCP experience is a plus)
  • Background in data analytics and reporting tools, especially for contact centers and conversational analytics (nice to have)
  • Proven track record leading engineering team as technical expert

The salary range for this role will be between $190,000 – $210,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

  • Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

  • 401(k) Retirement Plan: To help you plan for your financial future by offering the plan

HSA & FSA Plans: To help you plan for health related expenses on a pre-tax basis

  • Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson’s success and growth.
  • Additional Insurances: Basic and supplemental life insurance, Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
  • Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

  • Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
  • Paid Public Holidays.
  • Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

  • Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We’re very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates’ personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Apply now >

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