Associate Applied Engineer, Sales Engineering - Atlanta, GA at NCR Voyix

  • Company: NCR Voyix
  • Location: Atlanta, GA, USA
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-29

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Job 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. Job title: Associate Applied Engineer, Sales Engineering Job location: Atlanta, Georgia Work dynamic: Office based Position purpose The Applied Engineer turns NCR Voyix platform capability into something a customer can see, test and decide on. The role works with Engineering, Product, Sales and customer stakeholders to show how Voyix Edge, cloud-native infrastructure and modern integrations address operational problems, and what those problems are worth solving. The primary focus is building customer-facing demonstrations, prototypes and integrations, evaluating operational workflows, validating platform capability in real environments, and connecting what the technology does to a measurable business outcome. This is an AI-native seat. The person in it is expected to build with agentic AI tooling every day, and the hiring bar reflects that. The next section sets out what is meant by it, because candidates are screened against it. How this team works with AI: Read this section before applying. It is the part of the role most candidates misjudge. The team works through agentic AI tools that read a codebase, write files, run commands and operate on real data: Claude Code, Cursor, Codex, GitHub Copilot in agent mode, and whatever replaces them. AI is the default way output gets produced here, whether that output is a demonstration environment, an integration, a data analysis, an internal tool or a customer presentation. A normal week in this role includes: Building a working application, prototype or interactive model with an agent doing most of the typing, and reviewing what it produced before anyone sees it Standing up an agent, script or automation for a task that repeats, so it stops being done by hand Putting call transcripts, customer documents and operational data through a model, and turning the result into something a customer team can act on Producing a customer deck or a quantified business case from source material the model reads for you Writing the prompts, instruction files, tool definitions and context that make the output consistent enough to use in front of a customer Knowing where the tooling gets things wrong and checking it, because a wrong number in front of a customer is yours Conversational chatbot use is the baseline we assume every candidate arrives with. This role starts well past it. We are hiring people who have already rebuilt the way they work around these tools and can show what that produced. Key Responsibilities: Make the NCR Voyix platform tangible for customers by building demonstrations, integrations and proofs of concept that show how Voyix Edge operates inside a real restaurant environment and alongside the technology the customer already runs. Build those assets with AI tooling as the primary method, at a volume and pace that is not reachable without it, and take responsibility for validating what the tooling produces before it reaches a customer. Connect platform capability to operational outcomes by analyzing customer workflows, validating improvement opportunities and quantifying impact on speed of service, labor efficiency, throughput and operational performance. Strengthen the NCR Voyix competitive position by showing how an open, edge-native platform deploys, integrates and scales alongside customer applications in ways closed-platform competitors cannot. Expand the effectiveness of Sales Engineering by developing reusable demos, technical assets and implementation patterns that sho

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