2 months 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.
Categories
About NCR
NCR builds enterprise technology for retail, restaurants, and banks, including point-of-sale and self-checkout systems, payments software, ATM networks, and managed services. The company separated in 2023 into two public entities: NCR Voyix (unified commerce and payments for retail and hospitality) and NCR Atleos (banking and ATM-as-a-service). Founded in 1884 and headquartered in Atlanta, it sells hardware, software subscriptions, and support to customers in many countries.