AI Engineer (Developer) - Autonomous Compliance Foundation

SAP SE; São Paulo; On-site; BRL 260,000 - 460,000; Full time

Job summary

SAP SE is seeking a skilled engineer to help build autonomous compliance capabilities. The role focuses on turning regulatory requirements into compliant software via an automated pipeline with human validation gates, enabling e-invoicing as a primary area.

You will work on AI-enabled services, scalability, and reliability across production pipelines. You will design and extend the pipeline, contribute to validation gates, curate knowledge for SAP AI agents, and help deliver docs, training, and

Qualifications

• Solid foundation in building cloud-based microservices (Java, Node.js, Python, or similar).
• Experience with APIs, REST, distributed systems basics, and CI/CD practices.

Responsibilities

• Design, develop, and maintain production-grade AI-enabled features and services across the pipeline with a focus on scalability and reliability.
• Contribute to human-validation gates that keep legal/compliance teams in control of pipeline outputs.
• Help produce and curate grounded knowledge for SAP Business AI agents to ensure reliable, auditable compliance answers.
• Build self-service and AI-assisted flows to configure e-invoicing solutions for non-technical users.
• Extend the pipeline to generate documentation, training, and rollout assets from the same specs.
• Build and improve evaluation and benchmarking pipelines to measure AI output quality and system performance.
• Monitor, troubleshoot, and improve application health, latency, throughput, and efficiency.

Skills

Java

Node.js

Python

APIs

REST

CI/CD

AI/LLM tools

Prompt design

RAG patterns

Observability

Performance monitoring

Testing

Validation

Troubleshooting

EDI formats

Job description

What you'll bring

You have robust coding and debugging skills and a solid foundation in building cloud-based microservices (Java, Node.js, Python, or similar) — through your studies, internships, or personal projects. You understand APIs, REST, distributed‑systems basics, and CI/CD practices.

You've worked with AI/LLM tools — prompt design, basic RAG patterns, and calling AI services from an application — and, above all, you have an instinct to automate and explain: to turn AI output into something a non-technical user can act on.

You're curious about how systems behave in production — observability, performance, monitoring — and you bring an ownership mindset and good testing, validation, and troubleshooting habits.

Nice to have (not required): a couple of years of professional experience is welcome — for example building and operating cloud-based microservices in production, integrating LLMs into live applications, or working with observability and performance tuning. Familiarity with e-invoicing or EDI document formats (XML, JSON, Peppol BIS), or the ability to ramp up fast on domain‑specific formats, is also a plus.

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.

• Help design, develop, and maintain production‑grade AI‑enabled features and services across the pipeline, with a focus on scalability and reliability.
• Contribute to the human‑validation gates that keep legal and compliance experts in control of what the pipeline produces.
• Help 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.
• Build self‑service and AI‑assisted flows that let customers configure e‑invoicing solutions without engineering intervention — guided setup wizards, mapping explainers, implementation‑assistant tools — and the infrastructure that powers them. This is about designing the interaction layer that makes AI outputs actionable for non‑technical users, not just consuming AI APIs.
• Help extend the pipeline beyond code to generate documentation, training, and rollout assets from the same specifications.
• Build and improve evaluation and benchmarking pipelines to measure AI output quality and system performance.
• Help monitor and improve application health, latency, throughput, and efficiency; debug production issues and contribute to incident analysis and stability fixes.
• Support and enhance CI/CD pipelines and deployment workflows, and collaborate cross‑functionally to refine requirements and improve system design.

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 growing ownership of features and modules as you develop, working closely with product, platform, AI, and consulting teams to align on goals and deliver quality results. The team values direct communication, shared accountability, and continuous improvement. You’ll take part in code reviews, learn from skilled engineers, and build your expertise in AI‑native application development.

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.

Additional Information

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.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.

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 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.