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SAP • Budapest, HU

Senior AI Engineer at Corporate Functions & Analytics

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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.

We're looking for a dynamic (Mid to Senior) AI Engineer to join our team, which is leading the charge to make SAP a truly data-driven company, who can design, build and bring to production, enterprise-grade AI solutions across processes in our operations.

You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging SAP's latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems.

You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI within the Corporate Functions & Analytics (CFA) domain, specifically in one of the following key areas: Finance, Spend, People Solutions and Analytics.

The Role:

In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You’ll design and implement AI solutions, setup and develop big data pipelines and ensure high standards of scalability, observability and compliance. You’ll thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions at SAP.

Responsibilities:

  • Design, develop and deploy AI and (gen)AI services and solutions from proof of concept to full enterprise production

  • Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems

  • Implement CI/CD and MLOps practices to automate model training, testing and deployment

  • Collaborate with Product Owners and data scientists to translate requirements into technical specifications

  • Develop and integrate multi-agent AI and LLM-based products and solutions

  • Ensure reliability, observability and compliance of deployed AI solutions

  • Guide and mentor junior colleagues to foster AI engineering excellence across teams

What you bring:

  • Degree in computer science or a similar field

  • Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles

  • Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures

  • Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)

  • Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)

  • Hands-on experience with data ETL, APIs and model deployment workflows

  • Knowledge of distributed systems and data platforms for big data

  • Understanding of Agile, SAFe methodologies and collaborative engineering practices

  • Fluent English and a proactive, problem solving mindset

Nice to have but not a must:

  • Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)

  • Familiarity with SAP AI Core, SAP BTP

  • Experience with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira)

These skills are a plus. If you don’t have experience in all these areas, we’ll provide the resources and training you need to become a leader in cutting-edge AI technologies.

Meet your team:

CFA is central to making SAP a truly data-driven company. We are thought leaders, leveraging the latest tech (including Business AI) to provide trusted data and real-time insights. Our global team is focused on process simplification and data democratization for all SAP employees.

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: 439555 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid


Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

Company employees

107,000

Gender diversity (male:female)

65:35

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