Senior AI Systems Engineer – End-to-End Production

SAP SE

Palo Alto (CA)

Hybrid

USD 198,000 - 420,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model
Competitive compensation
Personal development opportunities

Job summary

SAP SE in Palo Alto is seeking a Principal AI Developer to build AI-native, agentic software end‑to‑end. You will own design and implementation across knowledge graphs, model integration, and production serving, shaping scalable systems for IndustryAI.

You will lead critical development, set engineering standards, and collaborate with architects, data scientists, and product teams to deliver measurable outcomes. The role is hybrid with strong emphasis on practical, production‑grade code.

Qualifications

  • 7–10 years of professional software‑engineering experience, preferably in cloud or enterprise SaaS.
  • Hands‑on expertise building production AI/native systems and data platforms.
  • Experience shipping enterprise‑scale, end‑to‑end systems and ML/inference tooling.

Responsibilities

  • Design and build AI-native and agentic systems end‑to‑end across ingestion, knowledge graphs, and production serving.
  • Own the hardest engineering problems: decompose requirements, prototype, and drive to production‑grade code.
  • Build the agentic layer: multi‑agent orchestration, tool calls, RAG, context and memory engineering.
  • Integrate LLMs/ML models into enterprise systems with inference pipelines and observability.
  • Write precise specs and ensure designs meet architectural guardrails.
  • Develop evaluation and observability to detect drift and ensure reliability.

Skills

AI systems engineering
Agentic systems
LLM integration
Python/TypeScript/Go/Java
Cloud-native MLOps
Distributed systems
Software design and testing

Education

Bachelor's in Computer Science or related
Advanced degree a plus

Job description

SAP SE in Palo Alto is seeking a Principal AI Developer to build AI-native, agentic software end‑to‑end. You will own design and implementation across knowledge graphs, model integration, and production serving, shaping scalable systems for IndustryAI.

You will lead critical development, set engineering standards, and collaborate with architects, data scientists, and product teams to deliver measurable outcomes. The role is hybrid with strong emphasis on practical, production‑grade code.

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