Senior AI / Platform Architect

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
• Observability engineering: monitoring, dashboards, telemetry pipelines
• MLOps, CI/CD, and production monitoring of AI systems
• Cloud-native: SAP BTP preferred, or comparable (AWS / Azure / GCP)

What you get from us:

• Constant learning and skill growth in a wide range of technology areas
• A team that wants you to grow and succeed
• Flexible working models with a strong focus on health and well-being
• Recognition for individual contributions and a variety of benefit options to choose from

We help the world run better. At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work.

SAP is the 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 more than 200 million users and over 100,000 employees worldwide, we serve over 400,000 customers and touch 80% of global commerce across more than 20 industries.

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. SAP is an equal opportunity employer and is committed to creating a diverse environment. We believe in unleashing all talent and creating a better and more equitable world.