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Senior ML Engineer — enterprise AI

SAP

Full-time
Senior
Business AI
Hybrid
Dietmar-Hopp-Allee 16, 69190 Walldorf, Germany · Hybrid
EUR 85k–115k/year + bonus

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Dietmar-Hopp-Allee 16, 69190 Walldorf, Germany · Hybrid
Compensation: EUR 85k–115k/year + bonus
Experience level: Senior
Team: Business AI
Benefits & perks: Pension, hybrid, global mobility.
How to apply: Enterprise LLM or analytics feature in ERP context.
Company site: www.sap.com
Listed: Jun 29, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

SAP is hiring a Senior Senior ML Engineer — enterprise AI on the Business AI team (Hybrid · Walldorf, Germany). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

SAP embeds AI across ERP, supply chain, and HR products used by the world's largest enterprises.

Join SAP Business AI near Walldorf to ship LLM and analytics features for global customers.

What you will do

Ship production enterprise AI on SAP BTP with offline evals, monitoring, and safe rollout.
Work with product and domain experts on requirements and trade-offs.
Improve data pipelines, labeling, and metrics tied to business KPIs.
Document runbooks for on-call and customer-facing teams.

What we look for

Strong Python and modern ML/LLM stack with shipped features.
SQL, experimentation, and clear communication to stakeholders.
Eligible to work in the listed country; professional English required.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
SAP BTPTool
Regular use of SAP BTP in the LLM & generative AI stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Enterprise LLM or analytics feature in ERP context.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, SQL, Kubernetes, and SAP BTP.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Walldorf, Germany)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 85k–115k/year + bonus, benefits in At a glance) and your expectations align.

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What the employer asked for

Enterprise LLM or analytics feature in ERP context.

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