Chief AI Engineering Architect (Forward-Deployed)

SAP SE; Germany (OH); On-site; USD 173,000 - 242,000; Full time

Job summary

SAP SE seeks a (Chief) Expert in AI Engineering to set the technical direction for AI across strategic customer engagements and enterprise initiatives. You will be the deepest technical authority on AI engineering, defining architectures, standards, and roadmaps for scalable AI-native applications within SAP's enterprise environments.

You will mentor teams, collaborate with product and research leaders, and influence long-term AI technology direction while delivering measurable outcomes for

Qualifications

• Deep expertise in AI engineering for production-grade AI-native apps.
• Ability to define AI engineering reference architectures and roadmaps.
• Experience with large language models, agentic systems, and vector databases.
• Proven leadership across multi-delivery programs and cross-functional teams.

Responsibilities

• Define and govern AI engineering architectures and standards across engagements.
• Serve as highest-level technical escalation point for complex AI challenges.
• Embed with strategic customers to co-design transformational AI solutions.
• Align customer business strategy with AI product roadmaps and engineering execution.
• Mentor teams and establish guardrails for technical excellence.
• Influence SAP's AI product direction through field insights and external forums.

Skills

AI engineering

Technical strategist

LLMs

RAG architectures

Agentic systems

Vector databases

Cloud-native deployment

Leadership

Stakeholder influence

Tools

SAP AI Core

Vectorization

Joule Studio

RPT-1

Business Data Cloud

Job description

SAP SE seeks a (Chief) Expert in AI Engineering to set the technical direction for AI across strategic customer engagements and enterprise initiatives. You will be the deepest technical authority on AI engineering, defining architectures, standards, and roadmaps for scalable AI-native applications within SAP's enterprise environments.

You will mentor teams, collaborate with product and research leaders, and influence long-term AI technology direction while delivering measurable outcomes for