- Location
- Atlanta HQ North Tower Office, United States of America
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Experience
- 10+ years
- Education
- Master
- Source
- Workday
Description
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.
Key Responsibilities
Enterprise AI Adoption
- 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
Required Qualifications
Experience
- 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.
Technical Expertise
- 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
Leadership Skills
- 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
Preferred Qualifications
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
Ideal Candidate
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.”