SAP AI Architect - Multiple Locations

SAP LTD.
New York, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

New York, United States of America

Tech stack

SAP Cloud
HTML
Java
JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Business Software
Cloud Computing
Continuous Delivery
Graph Database
Interoperability
Python
Machine Learning
Performance Tuning
TensorFlow
SAP Applications
SAP Business Suiteing
SAP HANA
SAP NetWeaver Data Management
SAP Project System
Search Technologies
Systems Integration
Web Applications
PyTorch
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
SAP Business Technology Platform
SAP Fiori
SAP S/4HANA
Machine Learning Operations
Front End Software Development
Programming Languages
Microservices

Job description

  • 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

About the company

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 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., 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.

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