Chief AI Engineering Architect for Enterprise AI

SAP SE

United States

Hybrid

USD 131,000 - 272,000

Full time

5 days ago
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Job summary

SAP SE in New York City is seeking a Chief Expert in AI engineering to set the technical direction for AI-native applications, govern architectures, and ensure scalable delivery across strategic customer engagements.

You will mentor engineers, influence SAP’s AI product and platform strategy, and collaborate with product, research, and go-to-market teams to translate field learnings into reusable assets and differentiated capabilities for enterprise customers.

Qualifications

  • Extensive experience designing and delivering production-grade AI native applications at enterprise scale.
  • Ability to act as a technical strategist, defining AI engineering roadmaps.
  • Strong leadership of cross-functional programs across multiple teams.
  • Experience with SAP AI technologies is a strong advantage.

Responsibilities

  • Define and govern AI engineering architectures and standards.
  • Act as the highest-level technical escalation point for complex AI engineering challenges.
  • Embed with SAP's most strategic customers to co-design transformational solutions.
  • Drive alignment between business strategy, AI product roadmaps, and engineering execution.
  • Mentor and elevate engineering talent across the team.

Skills

AI engineering
Technical strategist
Large language models
RAG architectures
Agentic systems
Vector databases
Cloud-native AI
Cross-functional leadership
Stakeholder influence
Communication skills

Tools

SAP AI Core
Vectorization
Joule Studio
RPT-1
Business Data Cloud

Job description

SAP SE in New York City is seeking a Chief Expert in AI engineering to set the technical direction for AI-native applications, govern architectures, and ensure scalable delivery across strategic customer engagements.

You will mentor engineers, influence SAP’s AI product and platform strategy, and collaborate with product, research, and go-to-market teams to translate field learnings into reusable assets and differentiated capabilities for enterprise customers.

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