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SAP

AI Solution Architect - Generative & Agentic AI (SAP BTP)

SAP

Published 27 Feb 2026
Australia
Full Time

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Role Highlights

Languages used

Python
JavaScript
TypeScript

Key skills

Data Science
Generative AI
ML Ops
Vector Database
Computer Science
Integrations
Distributed Systems
Technical Leadership
Software Architect
Solution Architect
ERP
Architecture
RAG
Security
LLMs
Optimization
Transformation
Machine Learning
Graph
Cloud
Operations

Tools, Libraries and Frameworks

Langchain

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. \\\\Meet your team\\\\ 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 youll 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\\\\ \\+ 820 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\\\\ Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field. \\\\Location\\\\ Preferrably this role will be base in either Sydney, Brisbane, Melbourne or Canberra however, we are also open to hiring in Malaysia and Philippines. You must have a valid work permit to work in your current location to be considered we cannot provide visa sponsorship. \\\\\\#AI26\\\\ \\\\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\\\\ SAPs 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: . 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: 446565 \\\| Work Area: Consulting and Professional Services \\\| Expected Travel: 0 - 10% \\\| Career Status: Professional \\\| Employment Type: Regular Full Time \\\| Location: Sydney, Brisbane, Melbourne, Canberra or Malaysia, Philippines \\#LI-Hybrid

Required Qualifications and Skills

The role requires 8 to 20 years of experience in AI/ML and solution architecture, with a focus on enterprise delivery. Strong expertise in Generative AI architectures, including RAG, agent orchestration, and model customization, is essential. Experience with agentic systems, multi-agent coordination, tool usage, and A2A/MCP patterns is also necessary. Hands-on experience with frameworks like LangChain, LangGraph, or CrewAI is required, along with experience designing and implementing Business AI solutions. A strong foundation in distributed systems and scalable software architecture, as well as experience designing cloud-native AI platforms, is needed. Proficiency in Python is required, with working knowledge of JavaScript/TypeScript being beneficial. Experience with vector databases, semantic retrieval, and knowledge graph architectures, as well as implementing MLOps/LLMOps and model lifecycle governance, is also a requirement. A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field is required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

SAP

Size

111344

HQ

Walldorf, DE

Public/Private

Public Company

Description

SAP is a global leader in business application software with a commitment to innovation, helping over 400,000 customers worldwide improve efficiency and business insight. As a cloud company with 200 million users and more than 100,000 employees, SAP focuses on end-to-end solutions in database, analytics, intelligent technologies, and experience management. With a culture of collaboration and personal development, SAP aims to inspire confidence and realize the full potential of its employees. The commitment to inclusion, health, well-being, and flexible working models ensures every team member can perform at their best, supporting SAP's vision of creating a more equitable world through technology.

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