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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.
What you’ll build
We are looking for a Development AI Architect to join our passionate & high performing Partner Engineering team and drive SAP Business AI by building Agentic AI capabilities in our End to End Partner Business processes. You will act as the go-to technical advisor for AI initiatives & translating business requirements into production-ready solutions that deliver measurable business value at scale.
- As an AI Architect - you play a central role in bringing one of the most important technology of our time
- Artificial Intelligence with agentic AI capabilities - into action in our Partner Business processes.
Take overall responsibility for the Agentic AI topics in Partner Engineering team:
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Establish yourself as the Go-to-person for our Partner Engineering team and with business owners, product manager & product owner on all AI related topics.
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Translate business requirements into technical reality.
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Architect scalable, secure, enterprise-grade GenAI and Agentic AI solutions.
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Develop reference architectures for use cases including RAG, multi-agent orchestration, A2A, MCP, and hybrid AI patterns.
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Establish best practices for AI architecture covering governance, scalability, security, and lifecycle management.
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Design and guide implementation of LLMOps/MLOps pipelines for enterprise deployments.
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Architect AI solutions leveraging SAP BTP, AI Core, Joule, SAP HANA, S/4HANA, and SAP integration services.
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Provide technical leadership and mentor developers and data scientist in our team.
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Evaluate and select LLMs, agent frameworks, and AI platforms aligned to enterprise use cases.
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Ensure Responsible AI adoption, compliance, performance optimization, and cost efficiency.
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Contribute to reusable accelerators, frameworks, and solution assets to scale adoption.
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Collaborate across SAP and partner teams to deliver customer AI transformation programs.
What you bring
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Bachelor's or master’s degree in Artificial Intelligence, Computer Science, Data Science, or a related field
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8–20 years of experience in AI/ML and solution architecture, including enterprise delivery experience.
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Strong knowledge of Artificial Intelligence & IT architectures
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Agentic AI & Generative AI
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Experience with agentic systems, multi-agent coordination, tool usage, A2A/MCP patterns.
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Hands-on experience with frameworks such as Lang Chain, Lang Graph, CrewAI, or equivalent.
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Experience designing and implementing Business AI solutions.
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Experience designing cloud-native AI platforms.
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Proficiency in Python; working knowledge of Java, JavaScript/TypeScript is beneficial.
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Experience with vector databases, semantic retrieval, and knowledge graph architectures.
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Experience implementing MLOps/LLMOps and model lifecycle governance.
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Experience with SAP BTP preferred; hyperscaler experience is a plus.
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Familiarity with SAP S/4HANA, HANA DB, and SAP AI offerings is advantageous.
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Proven ability to lead technical strategy and influence enterprise decisions.
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Passion for innovation and emerging AI technologies.
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Strong experience with SAP and understanding of its architecture
(e.g. SAP Business AI, SAP Business Technology Platform, GenAI Hub) -
Ability to work in a fast-paced, team-oriented environment
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Strong Business acumen & C-level communication skills
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Excellent communicating skills in English
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Strong problem-solving mindset with ability to identify high-impact automation opportunities and translate them into working solutions
Where You Belong
You'll join an international, diverse team of AI developers, engineers, and product experts, product manager/owner who are passionate about leveraging data to drive innovation. Our team culture emphasizes curiosity, collaboration, and continuous learning - we believe the best insights come from asking the right questions and exploring data from multiple perspectives.
We operate in a flexible, hybrid environment that supports work-life balance while fostering strong team connections. Whether you're collaborating with teammates across different time zones, diving deep into complex datasets, or presenting findings to stakeholders, you'll find a supportive atmosphere that values both analytical rigor and creative problem-solving. Our team encourages experimentation, celebrates data-driven wins, and learns collectively from challenges, creating an environment where your analytical skills can thrive and your career can grow.
#DevT4
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: 447277 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #
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Pros
Good work-life balance and flexible arrangements
Excellent benefits and compensation packages
Positive work environment and culture
Cons
Limited career progression and growth opportunities
Job restructuring and layoff concerns
Fast-paced environment requiring strong networking
Salary Ranges
3 data points
L3
L4
L5
L3 ·
0 reports
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total / year
Base
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Stock
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Bonus
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Interview Experience
5 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 40%
Negative 60%
Interview Process
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
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Hiring Manager Interview
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Onsite/Panel Interview
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Technical Assessment
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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