2 hours ago
Responsibilities
- Identify high-value AI opportunities with Finance, Legal, Supply Chain, Sales, Customer Care, and IT leaders.
- Lead AI strategy, technical architecture, implementation, and adoption of enterprise AI solutions.
- Develop reusable AI patterns, frameworks, accelerators, governance standards, and engineering guidelines.
- Architect and deploy AI-powered customer service solutions, virtual agents, conversational AI, voice and chat agents, agent-assist experiences, retrieval systems, intelligent triage, and multi-agent orchestration.
- Define operational models for monitoring, observability, AI SecOps, human escalation, kill-switches, fallback mechanisms, incident management, and operational support.
- Lead cross-functional initiatives with business, product, operations, and engineering teams, while mentoring engineers and architects and managing stakeholder and vendor relationships.
Requirements
- 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/ML solutions at enterprise scale.
- Proven experience architecting AI solutions on Azure and/or Google Cloud and building customer-facing AI products.
- Experience with Databricks, BigQuery, Python, large language models, agentic AI architectures, retrieval-augmented generation, AI observability, monitoring, governance, and evaluation frameworks.
- Experience leading cross-functional initiatives and influencing business, product, operations, and engineering stakeholders.
- Strong executive communication, stakeholder management, product and business acumen, mentoring, and vendor partnership skills.
- Preferred experience delivering production-grade Contact Center AI solutions and implementing voice bots, virtual agents, agent assist, knowledge retrieval, RAG, intelligent routing, triage, and human-in-the-loop escalation workflows.
- Familiarity with Google Customer Engagement Suite, Vertex AI Agent Builder, Microsoft Copilot Studio, and Genesys Cloud AI.
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About NCR
NCR has separated into two separate and distinct companies: @NCRVoyix and @NCRAtleos.