Senior AI Engineer (Developer) - Autonomous Compliance Foundation

Company Description

Job Description

What you'll bring

You have deep experience in distributed systems and scalable application design, with robust hands-on skills in LLMs, advanced RAG patterns, and agentic workflows. You're proficient in system design for scale, resiliency, and fault tolerance.

You bring solid experience in performance optimization, cost management, and troubleshooting complex production systems, and a solid knowledge of SRE principles, observability (logs, metrics, tracing), and incident management. You've designed evaluation frameworks for AI systems, validated model behavior, and applied agentic engineering patterns. Technical management and mentoring ability round out what you bring.

Nice to have (not required): knowledge of e-invoicing or EDI document formats (XML, JSON, Peppol BIS) — or the ability to ramp up fast on domain-specific formats.

What you'll build

You'll join the Autonomous Compliance Foundation team. The main focus is autonomous compliance: turning new regulatory and legal requirements into working, compliant software — from legal text to running code — through an automated pipeline with human validation gates that reduces the manual effort of implementing legal changes. The pipeline also produces the downstream deliverables: documentation (implementation notes and SAP Help), training, and rollout materials. E-invoicing is the first focus area.

The specifications and curated knowledge this pipeline produces also ground SAP Business AI agents, so they can reason about and act on compliance topics precisely and stay current as regulations change.

• Independently design and architect scalable, AI-native application systems and components across the pipeline, including advanced RAG pipelines and multi-agent workflows.
• Build and own evaluation and benchmarking frameworks that measure AI system quality, reliability, and performance, and the human-validation gates that keep legal and compliance experts in control of what the pipeline produces.
• Produce and curate the grounded knowledge that SAP Business AI agents rely on, so their compliance answers and actions stay reliable and traceable to source.
• Optimize latency, throughput, and cost efficiency across systems.
• Implement and improve observability and SRE practices — monitoring, alerting, incident response, and root-cause analysis.
• Partner with platform, data, and AI teams to design robust, production-ready solutions and improve system integration.
• Continuously strengthen system scalability, endurance, and maintainability.

In the longer horizon, the team moves localization from code-based to configuration-based: legislation expressed as structured configuration rather than code, new localizations onboarded against a common platform, and compliance behavior that agents can extend and adapt — with a human always in the loop.

Where you belong

You'll take end-to-end technical ownership of critical systems and contribute to engineering excellence across the team. Mentoring less-experienced engineers, guiding design and code quality, and building robust technical capabilities within the team are all part of the role. The team operates across global, cross-functional groups in a culture that values continuous improvement, operational excellence, and knowledge sharing.

Skills used in this role

AI adoption capability, AI output quality assurance, AI-assisted development, context engineering, agentic orchestration, agentic engineering, application security, cloud architecture, observability, semantic retrieval, high-availability engineering, troubleshooting, evaluations and benchmarking engineering, CI/CD.

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor

Qualifications

Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

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.

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Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), 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.