AI Solution Architect - Generative & Agentic AI (SAP BTP) - 8 to 20 years

What you’ll do

• Engage with customer stakeholders to define AI strategy, architecture, and measurable business outcomes.
• Lead discovery sessions and workshops to shape enterprise AI adoption journeys.
• Architect scalable, secure, enterprise-grade GenAI and Agentic AI solutions.
• Develop reference architectures for use cases including RAG, multi-agent orchestration, A2A, MCP, and hybrid AI patterns.
• Establish best practices for AI architecture covering governance, scalability, security, and lifecycle management.
• Design and guide implementation of LLMOps/MLOps pipelines for enterprise deployments.
• Architect AI solutions leveraging SAP BTP, AI Core, Joule, SAP HANA, S/4HANA, and SAP integration services.
• Provide technical leadership and mentor engineering and data science teams.
• Evaluate and select LLMs, agent frameworks, and AI platforms aligned to enterprise use cases.
• Drive customer adoption from PoC through enterprise-wide rollout.
• Ensure Responsible AI adoption, compliance, performance optimization, and cost efficiency.
• Contribute to reusable accelerators, frameworks, and solution assets to scale adoption.
• Collaborate across SAP and partner teams to deliver customer AI transformation programs.

What you bring

• 8–20 years of experience in AI/ML and solution architecture, including enterprise delivery experience.
• Strong expertise in Generative AI architectures including RAG, agent orchestration, and model customization.
• Experience with agentic systems, multi-agent coordination, tool usage, A2A/MCP patterns.
• Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
• Experience designing and implementing Business AI solutions.
• Strong foundation in distributed systems and scalable software architecture.
• Experience designing cloud-native AI platforms.
• Proficiency in Python; working knowledge of JavaScript/TypeScript is beneficial.
• Experience with vector databases, semantic retrieval, and knowledge graph architectures.
• Experience implementing MLOps/LLMOps and model lifecycle governance.
• Experience with SAP BTP preferred; hyperscaler experience is a plus.
• Familiarity with SAP S/4HANA, HANA DB, and SAP AI offerings is advantageous.
• Strong customer-facing communication and stakeholder engagement skills.
• Proven ability to lead technical strategy and influence enterprise decisions.
• Passion for innovation and emerging AI technologies.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

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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.