Ai Solution Architect Generative & Agentic Ai Sap Btp
- SAP
- 8 - 20 years
- Noida, Gurugram
- 6 days ago
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Job Description
SAP is seeking an experienced AI Solution Architect to lead the design and delivery of enterprise-scale Generative AI and Agentic AI solutions on SAP Business Technology Platform (BTP) .
As part of the Customer Engagement & Adoption (CE&A) Global Delivery Hub , you will help global customers accelerate AI adoption across SAP landscapes, enabling intelligent, AI-powered business processes.
This role combines strategic customer engagement, solution architecture ownership, and hands-on technical leadership , translating business challenges into scalable, production-ready AI solutions.
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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: SAPLocation(s): Noida, Gurugram+ View Contact
Keyskills: Computer science Solution architecture SAP orchestration Consulting Javascript Customer engagement Distribution system Analytics Python
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