< Back to search
8.4

/10

Transparency ranking

Apply now

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.

This is a hybrid role based out of Palt Alto. Hybrid is 3 days a week on-site, 2 days a week remote.

Summary:

With over 3.6 million connected companies, the SAP Business Network powers global commerce. We are moving beyond simple automation to build autonomous supply chain agents capable of reasoning, planning, and exception handling.

This is a hands-on role for a Senior AI Application Engineer to drive the design and implementation of intelligent agents that bridge unstructured data with structured business logic. You will work with the latest advancements in Generative AI to build production-grade systems that solve real-world supply chain problems.

Responsibilities:

  • Component Design & Implementation: Own the end-to-end design and implementation of specific AI subsystems. You will translate high-level architectural vision into scalable, efficient, and maintainable code.
  • Build Agentic Workflows: Develop and optimize autonomous agents using modern frameworks
  • Production Engineering: Write clean, testable, and efficient code to implement highly available AI services
  • Data & Integration: Implement data pipelines that feed our reasoning engines. You will integrate vector databases and knowledge graphs with SAP’s core business applications to ground AI responses in enterprise reality
  • Conduct thorough code reviews and mentor junior engineers on best practices in software design and AI engineering

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Engineering or a related technical field
  • 7+ years of professional experience in software development
  • 3+ years of experience building and deploying distributed systems, microservices, or backend APIs (e.g. REST, gRPC, GraphQL)
  • 3+ years of applied AI experience (e.g. NLP, Machine Learning) including 1+ years of hands-on experience with Generative AI techniques like Large Language Models, RAG, Agentic Workflows

Preferred Qualifications:

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field
  • Hands-on experience with agentic tools (e.g. LangChain, LangGraph) and Vector Databases
  • Familiarity with graph databases (e.g. Neo4j) or query languages (Cypher, SPARQL) to support GraphRAG implementations
  • Domain Knowledge: Familiarity with Supply Chain Management, procurement processes, or logistics data models

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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 141,700 - 294,700 (USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

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: 440649 | 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

Currently hiring in

Argentina

Australia

Austria

Bahrain

Belgium

Brazil

Bulgaria

Canada

Chile

China

Colombia

Czechia

Denmark

Egypt

Finland

France

Germany

Greece

Hong Kong

Hungary

India

Indonesia

Iraq

Ireland

Israel

Italy

Japan

Kuwait

Malaysia

Mexico

Morocco

Netherlands

New Zealand

Norway

Oman

Pakistan

Philippines

Poland

Portugal

Qatar

Romania

Saudi Arabia

Serbia

Singapore

Slovakia

South Africa

South Korea

Spain

Sweden

Switzerland

Taiwan

Thailand

Türkiye

Ukraine

United Arab Emirates

United Kingdom

United States

Vietnam

Office Locations