As a Senior AI / Platform Architect at SAP, located in Budapest, HU, you will serve as the technical owner for integrating grounded AI into enterprise sales workflows. This is a regular full-time, hands-on role featuring a hybrid work arrangement, where you will spend equal time in code, design, and data to drive top-line growth.
Requirements
Strong engineering fundamentals and production AI/ML experience.
Deep expertise in Python, modern AI frameworks, generative AI, LLM orchestration, RAG, and grounded systems.
Proficiency in API-based architecture, advanced SQL, data engineering, and log/telemetry analysis.
Experience with observability engineering, MLOps, CI/CD, and cloud-native platforms like SAP BTP, AWS, Azure, or GCP.
No specific minimum degree or exact years of experience are explicitly stated in the posting.
Skills & Responsibilities
Python & Generative AI: Design and ship grounded AI features, LLM orchestration, and RAG systems that integrate directly into sales quoting workflows.
Data Engineering & SQL: Mine large operational datasets, support tickets, and usage logs to surface actionable insights and justify technical decisions.
Observability Engineering: Build monitoring dashboards, telemetry pipelines, and performance tracking to evaluate system correctness and latency in production.
MLOps & CI/CD: Own the complete AI lifecycle from prototyping to enterprise deployment, ensuring robust governance and performance optimization.
Potential transition routes: People from Senior Software Engineer or AI Engineer roles may bring strong programming and machine learning skills, alongside meeting the important stated requirements in cloud-native architecture and production MLOps.
Job description
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.
About the role
We build the systems SAP Account Executives rely on to quote, price, and close complex deals. We're now bringing AI into that workflow, not as a bolt-on chatbot, but as grounded, trustworthy capability wired into the engine that actually owns the rules. That means AI that calls real business logic and reports the real result, rather than guessing at it.
You'll be the senior technical owner for this work: designing the approach, building the hard parts yourself, and setting the bar for how AI, data, and observability come together in a production sales platform. It's a hands-on architect role, you'll spend as much time in code and data as you do on design.
The work splits roughly in two:
Building AI capability into the sales workflow, assistants and services that give AEs predictive insight, in-flow automation, and decision support they can trust.
Analytics & observability , turning messy operational reality (support tickets, system telemetry, usage data, performance traces) into the evidence that tells us what to build and whether it's working.
What you'll build
Grounded AI for sales workflows. Design and ship AI-driven features that support Account Executives directly in their quoting workflow, automation, decision support, and guardrails grounded in the platform's own logic, so the system never claims an outcome it can't confirm. Getting this right (grounding, evaluation, honest failure modes) is the core technical challenge, not an afterthought.
End-to-end AI integration. Architect scalable AI components that slot into existing enterprise systems through clean, API-based boundaries, experimentation through to enterprise-ready deployment.
Analytics that drive decisions. Mine large operational datasets, support-ticket corpora, usage logs, deal data, to surface where the real pain and opportunity are. Much of what we build is justified by this analysis first; you'll be the one turning tens of thousands of noisy records into a defensible answer.
Observability & telemetry. Build the monitoring, dashboards, and telemetry pipelines that tell us how our systems (AI and otherwise) actually behave in production, latency, correctness, usage, drift, and make that visible to the people who need it.
Production-grade lifecycle. Own AI systems from prototype to enterprise deployment: MLOps, evaluation harnesses, monitoring, governance, and performance optimization. Ship things that hold up under real users, not just demos.
Your work will directly influence SAP's core sales processes and top-line growth.
What you bring
Strong engineering fundamentals plus production AI/ML experience
Deep Python and modern AI frameworks; generative AI, LLM orchestration, prompt engineering, RAG / grounded systems
Grounding and evaluation: keeping AI honest against a source of truth, guardrails, honest failure modes
API-based architecture and data engineering: clean integration boundaries into enterprise systems
Data & analytics as a co-equal strength: strong SQL, log/telemetry analysis on large messy datasets
MLOps, CI/CD, and production monitoring of AI systems
Cloud-native: SAP BTP preferred, or comparable (AWS / Azure / GCP)
Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 454877 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
