Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are seeking a seasoned SAP AI Architect to lead the design, development, and deployment of AI driven solutions within our SAP ecosystem. The ideal candidate brings deep expertise in SAP technologies, modern AI frameworks, and the SAP Business Technology Platform (BTP), enabling seamless integration of AI capabilities that drive innovation, automation, and measurable business value.

Responsibilities

• Partner with customer stakeholders to define AI strategy, target architecture, and enterprise grade AI solutions that enhance business processes and deliver tangible outcomes.
• Lead SAP AI discovery sessions and workshops to identify high value use cases, shape AI adoption roadmaps, and accelerate data driven decision making for SAP customers.
• Architect robust AI solutions leveraging SAP technologies such as Generative AI Hub, BTP, AI Core, Joule, Business Application Studio, Build Code, HANA, S/4HANA, Business Data Cloud, and Integration Suite.
• Design and manage APIs, microservices, and integrations using SAP BTP services to ensure seamless interoperability across SAP and non SAP systems.
• Utilize SAP BTP capabilities for data orchestration, analytics, vector search, and machine learning model deployment.
• Develop reference architectures for advanced AI patterns such as RAG, multi agent orchestration, A2A automation, MCP, and hybrid AI scenarios.
• Design and guide implementation of enterprise grade LLMOps/MLOps pipelines to support continuous delivery, monitoring, and lifecycle management of AI models.
• Establish and enforce architectural best practices covering governance, scalability, security, observability, and operational excellence for AI workloads.
• Ensure Responsible AI adoption, regulatory compliance, performance optimization, and cost efficient solution design.
• Contribute to reusable accelerators, frameworks, templates, and solution assets that scale AI adoption across customer engagements.
• Collaborate with SAP product engineering, services teams, and partners to deliver end to end AI transformation programs.
• Provide technical leadership, coaching, and mentorship to engineering, data science, and consulting teams.
• Stay current on emerging AI technologies, SAP Data + AI innovations, and industry trends to drive continuous improvement and customer innovation.

Requirements

• Strong business process acumen with the ability to translate complex challenges into actionable, AI enabled solutions.
• An AI-first mindset professional with excellent problem-solving, communication, and leadership skills
• Proficiency across SAP BTP services, including SAP AI Core, AI Business Services, Integration Suite, and Extension Suite.
• Advanced expertise in Generative AI architectures such as RAG, agent orchestration, and model fine tuning/customization.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java).
• Deep understanding of Generative AI, prompt engineering, and LLM driven solution design.
• Front end development familiarity (JavaScript, HTML, Fiori Web Components) and experience consuming APIs.
• Experience with agentic systems, multi agent coordination, tool calling frameworks, and A2A/MCP patterns.
• Hands on experience implementing MLOps/LLMOps pipelines and model lifecycle governance.
• Practical experience with frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools.
• Knowledge of vector databases, semantic retrieval techniques, and knowledge graph architectures.
• Experience with S/4HANA, SAP Business Data Cloud, SAP Analytics Cloud, HANA Cloud, and knowledge of SAP AI offerings
• Understanding of SAP’s AI partnerships (e.g., Microsoft, Google, AWS, NVIDIA, Anthropic, Palantir) and how these capabilities complement SAP BTP, Data & AI solutions a plus

Skills

• SAP BTP
• Generative AI
• AI Architecture
• Machine Learning
• Python
• Java
• APIs
• Microservices
• Integration
• LLMOps
• MLOps
• RAG
• Prompt Engineering
• JavaScript
• HTML
• Fiori Web Components
• Agentic Systems
• Vector Databases
• S/4HANA
• SAP Business Data Cloud
• SAP Analytics Cloud
• HANA Cloud

Location

• Hybrid

Work Type

• Regular Full Time

Experience Level

• Professional

Salary/Compensations

• 167300 - 284600 (USD)

Benefits

• Constant learning
• Skill growth
• Great benefits
• Team that wants you to grow and succeed
• Limited benefits for employees hired into hourly or like roles subject to applicable plan/policy terms

About the Company

• We help the world run better
• 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.

Equal Opportunity

• 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 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.