About NCR VOYIX
NCR Voyix Corporation (NYSE: VYX) is a global platform-powered leader in unified commerce for shopping and dining. Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.The Principal AI Engineer is responsible for driving AI adoption and innovation across Corporate Functions, Contact Center Operations, and Go-To-Market (GTM) products.
This role serves as the technical leader for enterprise AI initiatives, partnering with business leaders, product teams, and engineering organizations to design, build, and operationalize AI solutions on Azure and Google Cloud. The role combines AI architecture, platform engineering, product innovation, and organizational change leadership to transform AI opportunities into measurable business outcomes.
- Partner with Finance, Legal, Supply Chain, Sales, Customer Care, and IT leaders to identify high-value AI opportunities.
- Lead AI strategy, technical architecture, and implementation of enterprise AI solutions.
- Drive adoption of Generative AI, Agentic AI, and AI-powered workflow automation.
- Develop reusable enterprise AI patterns, frameworks, and accelerators.
- Establish AI best practices, governance standards, and engineering guidelines.
- Lead architecture and deployment of AI-powered customer service solutions and virtual agents.
- Design and implement:
- Conversational AI
- Voice and chat agents
- AI-assisted agent experiences
- Knowledge retrieval systems
- Intelligent intake and triage workflows
- Multi-agent orchestration
- Define Day-2 operating models including:
- Monitoring and observability
- AI SecOps
- Human escalation workflows
- Kill-switch and fallback mechanisms
- Incident management and operational support
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline.
- 10+ years of experience in software engineering, cloud engineering, data engineering, or AI engineering.
- 5+ years delivering production AI/ML solutions at enterprise scale.
- Proven experience architecting AI solutions on Azure and/or Google Cloud.
- Experience building and deploying customer-facing AI products.
- Experience leading cross-functional initiatives involving business, product, operations, and engineering teams.
- Azure and Google Cloud
- Databricks and BigQuery
- Python and modern software engineering practices
- API and microservice architectures
- Large Language Models (LLMs)
- Agentic AI architectures
- Retrieval-Augmented Generation (RAG)
- AI observability and monitoring
- AI governance and evaluation frameworks
- Executive communication and stakeholder management
- Strong product and business acumen
- Ability to influence across organizational boundaries
- Experience mentoring engineers and architects
- Strong partnership and vendor management skills
Experience delivering production-grade Contact Center AI solutions.
Familiarity with platforms such as:
- Google Customer Engagement Suite (CES)
- Vertex AI Agent Builder
- Microsoft Copilot Studio
- Genesys Cloud AI
Experience implementing:
- Voice bots and virtual agents
- Agent Assist solutions
- Knowledge retrieval and RAG
- Intelligent routing and triage
- Human-in-the-loop escalation workflows
A strategic technology leader who can:
- Drive enterprise AI adoption across business functions.
- Build and scale customer-facing AI products.
- Architect solutions on Azure, Google Cloud, Databricks, and BigQuery.
- Lead AI platform engineering and governance efforts.
- Translate emerging AI capabilities into measurable business outcomes.
- Influence executives, product teams, and engineering organizations without direct authority.
Offers of employment are conditional upon passage of screening criteria applicable to the job
EEO Statement
Integrated into our shared values is NCR Voyix’s commitment to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment.
Statement to Third Party Agencies
To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes
“When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.com email domain.”
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline
- 10+ years of experience in software engineering, cloud engineering, data engineering, or AI engineering
- 5+ years delivering production AI or machine learning solutions at enterprise scale
- Experience architecting AI solutions on Azure and/or Google Cloud
- Experience building and deploying customer-facing AI products
- Experience leading cross-functional initiatives involving business, product, operations, and engineering teams
- Experience with Azure and Google Cloud
- Experience with Databricks and BigQuery
- Proficiency in Python and modern software engineering practices
- Experience with API and microservice architectures
- Experience with large language models, Agentic AI architectures, RAG, AI observability, monitoring, governance, and evaluation frameworks
- Executive communication, stakeholder management, product and business acumen, and cross-organizational influence
- Experience mentoring engineers and architects
- Strong partnership and vendor management skills
- Experience delivering production-grade Contact Center AI solutions
- Familiarity with Google Customer Engagement Suite, Vertex AI Agent Builder, Microsoft Copilot Studio, or Genesys Cloud AI
- Experience implementing voice bots, virtual agents, Agent Assist, knowledge retrieval and RAG, intelligent routing and triage, or human-in-the-loop escalation workflows
NCR Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NCR Corporation and has not been reviewed or approved by NCR Corporation.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision, alongside HSA/HRA funding and an employee assistance program. This breadth increases the perceived baseline value of the total rewards package even when pay satisfaction varies.
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Retirement Support — Retirement support includes a 401(k) match structure and an employee stock purchase program with a stated discount. These elements provide longer-term wealth-building mechanisms beyond base salary.
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Leave & Time Off Breadth — Time-off provisions include paid vacation, holidays (including floating days), sick time, and defined maternity and paternity leave. This breadth can improve the overall rewards experience for those who can fully utilize the leave policies.
NCR Corporation Insights
What We Do
Shaping the future for 135 years, NCR is the world’s enterprise technology leader for restaurants, retailers and banks. The #1 global POS software provider for retail and hospitality, and the #1 provider of multi-vendor ATM software, we create software, hardware and services that run the enterprise from back office to the front end and everything in between for our clients.
