Expert AI Developer in Enterprise Performance Management team

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

 

 

What you’ll build

 

You will help build the next generation of SAP Business AI for Enterprise Performance Management (EPM) and Financial Planning & Analysis (FP&A), embedding LLMs, predictive forecasting, agents, and RAG directly into SAP’s financial core.

Our vision is to transform FP&A into a decision‑intelligence hub that unifies data across finance, supply chain, and HR. Through agentic workflows and generative insights, we enable organizations to not only predict the future but to shape it, ensuring that every financial decision is grounded in deep, cross-functional context and global compliance. This AI‑native approach turns finance teams into strategic partners who can predict and shape future outcomes.

As a greenfield initiative, you’ll help define the technical architecture from scratch. Supported by SAP’s latest technologies — BTP, SAP Analytics Cloud, and Business AI — you’ll decide how to combine them into a category‑defining product.

 

Responsibilities

 

• Lead the design and architecture of advanced AI systems from concept to enterprise production.
• Architect and optimize complex workflows including multi‑step reasoning, autonomous agents, and large‑scale RAG pipelines.
• Define best practices for cloud-based AI architecture, deployment, observability, and Responsible AI.
• Translate business requirements into scalable, secure, and future ready technical solutions.
• Provide architectural guidance and mentorship to engineering teams and contribute as a top tier individual contributor.
• Solve challenges in performance, cost-efficiency, and model reliability at enterprise scale.
• Shape the LLM integration strategy for SAP financial systems and represent the team in global AI forums.
• Support CI/CD, MLOps, and automated model lifecycle management across environments.

 

What you bring

 

• 8+ years of engineering experience ideally including exposure to AI/ML engineering
• Expertise in AI system design (reasoning, agents, RAG, distributed pipelines).
• Strong Python skills (preferred) Java or similar, plus solid engineering fundamentals.
• Experience building cloud-based AI architectures using Docker, Kubernetes, and Azure/AWS.
• Strong knowledge of AI frameworks, vector databases, embeddings, retrieval, and evaluation.
• A track record of solving high complexity AI problems at scale or with novel architectures.
• Ability to set long-term technical direction and influence global engineering stakeholders.
• Hands-on ability to resolve deep architectural issues in complex codebases.
• Strong communication skills and a proactive, problem solving mindset.
• Strong written and verbal communication skills in English.

 

Nice to have but not a must

 

• Experience with LangChain, CrewAI, or other multi-agent/GenAI frameworks.
• Experience with MLFlow or advanced MLOps tooling.
• Exposure to Scrum, SAFe, or Jira.

 

Where you belong

 

SAP powers the world’s most mission critical business processes and our new engineering hub in SAP Labs Brno taking on one of the most ambitious initiatives in enterprise technology: transforming how global companies plan, forecast, and steer their business.

You’ll help turn static financial processes into autonomous, AI‑driven systems used by global enterprises. If you want to grow quickly, learn from experienced engineers, and build AI with real impact, this is where you belong.

 

Our benefits 

 

• You will get initial training on technical and business topics