Senior Application AI Engineer and Data Scientist - Globalization E-Invoicing Unit

SAP SE; São Leopoldo; On-site; BRL 350,000 - 520,000; Full time

Job summary

SAP SE in Brazil seeks an AI/ML Engineer to lead design and build of AI-enabled systems. You will craft advanced RAG pipelines, multi-agent workflows, and production-grade implementations across distributed services.

You'll own evaluation frameworks, monitor model behavior, optimize latency, throughput, and cost, and collaborate with platform, data, and AI teams to deliver robust, scalable solutions. Mentoring junior engineers is also expected.

Qualifications

• Experience in distributed systems and scalable architectures.
• Hands-on AI/ML with LLMs, RAG, and agentic workflows.
• Ability to design evaluation frameworks and monitor model behavior.

Responsibilities

• Design and build AI-enabled systems with advanced RAG pipelines.
• Develop multi-agent workflows and benchmarking frameworks.
• Optimize latency, throughput, and cost across services.
• Collaborate with platform, data, and AI teams to deliver production-ready solutions.
• Provide technical leadership and mentorship to engineers.

Skills

Distributed systems

LLMs

RAG patterns

Agentic workflows

Performance optimization

Production troubleshooting

AI evaluation frameworks

Ethical AI & data privacy

Statistical ML

Foundation models

Semantic retrieval

Tools

SAP BTP

Node.js

Python

e‑invoicing domain formats

Job description

Job Description

What you'll bring

You have deep experience in distributed systems and scalable application design, with strong hands‑on skills in LLMs, advanced RAG patterns, and agentic workflows. Strong experience in performance optimization, cost management, and troubleshooting complex production systems is essential. Experience designing evaluation frameworks for AI systems, validating model behavior, and applying agentic engineering patterns is critical. Technical leadership and mentoring ability are also part of what you'll bring.

You bring applied data science depth to complement that engineering foundation: a working command of applied statistics and machine learning, including deep learning, foundation models, and semantic retrieval. Feature engineering, model training and monitoring, and the ability to reason rigorously about data quality and model behavior are part of your toolkit. Embedding ethical AI, governance, and data privacy into the systems you build is part of how you approach the work.

Hands‑on experience with SAP BTP is a plus, along with development skills (Node.js, Python, or similar). Familiarity with e‑invoicing is a plus, or the ability to ramp up fast on domain‑specific formats.

What you'll build

You will design and build systems and components for applications that use AI. This includes creating advanced RAG pipelines. It also involves developing multi‑agent workflows. Evaluation and benchmarking frameworks to measure AI system quality, reliability, and performance are things you'll build and own. You'll optimize latency, throughput, and cost efficiency across systems. You'll partner with platform, data, and AI teams to design robust, production‑ready solutions and improve system integration. System scalability, resilience, and maintainability are areas you'll continuously work to strengthen.

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 strong 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. You’ll work closely with product, AI, and consulting teams to deflect issues at the source.

Differentiators:

• Microservice architecture and REST API‑based applications.
• SAP BTP‑native development experience.
• Experience building AI‑powered developer or customer‑facing tools — not just consuming AI APIs, but designing the interaction layer that makes AI outputs actionable for non‑technical users.

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.

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.

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

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.