SAP AI Architect

SAP•Edgmont Township, PA

4d•$151,900 - $258,300•Hybrid

About The Position

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. AI Solution Architect with expertise in enterprise AI architectures, agentic workflows, GenAI/LLM platforms, and hyperscaler data ecosystems, combined with strong ability to master and apply SAP BTP, HANA Cloud, Datasphere, and BDC capabilities. Drives strategic innovation across SAP and hybrid landscapes through advanced analytics, real-time decisioning, Responsible AI governance, cross-functional leadership, and hands-on technical delivery for transformative business outcomes.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field and/or 10 years of expertise in various applicable technical roles
Proven experience as an AI architect with expertise in AI and/or SAP technologies.
Knowledge of SAP BTP services, including SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.
Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Java).
Familiarity with SAP Business AI, SAP HANA Cloud and SAP Analytics Cloud, Vector Engines, Knowledge Graphs, A2A and MCP technologies.
Hands-on experience with AI frameworks like LangChain, LangGraph, and similar tools for building agentic workflows, RAG and GraphRAG apps, and LLM orchestration.
Excellent problem-solving, communication, and leadership skills.
Knowledge of data governance, AI and application security best practices.
An AI-Powered Mindset
Deep understanding of Generative AI & Prompt Engineering
Strong business process acumen; ability to understand the challenges you are asked to solve

Nice To Haves

Hands-on experience designing, deploying, and optimizing AI solutions on SAP or hyperscaler platforms.
Experience architecting complex, scalable AI solutions across cloud-native and enterprise environments with proven ability to adapt to SAP BTP and data platforms.

Responsibilities

Architect and implement end-to-end data and AI solutions leveraging SAP BTP, including HANA Cloud, SAP Datasphere, and SAP Business Data Cloud (BDC) for scalable data orchestration and analytics.
Experience with Joule as a copilot, with emphasis on architecting and orchestrating SAP’s Data & Analytics portfolio.
Ability to design and implement Joule-powered agents that securely invoke data residing in SAP HANA Cloud, SAP BDC/Datasphere delivering persona-specific insights and guided actions across SAP LoBs.
Design and operationalize data products using SAP Datasphere and BDC, enabling governed data sharing, semantic modeling, and cross-platform integration with hyperscalers such as Azure, AWS, and GCP.
Develop and deploy machine learning and GenAI solutions using SAP AI Core, SAP AI Launchpad, and external LLM services (e.g., Azure OpenAI, AWS Bedrock), ensuring seamless integration into SAP business processes.
Build and orchestrate agentic AI workflows that automate decision-making and business processes by combining LLMs, structured SAP data, and enterprise APIs.
Optimize SAP HANA Cloud performance for real-time analytics, predictive modeling, and AI-driven workloads, including advanced SQLScript, Knowledge Graphs, vector embeddings and processing.
Collaborate with functional and business stakeholders to identify high-value AI/ML use cases and embed intelligent automation across SAP landscapes (S/4HANA, BW, Datasphere, etc.).
Establish and enforce data governance, security, and compliance frameworks across SAP and non-SAP data platforms, aligning with enterprise policies and SAP best practices.
Drive innovation by evaluating emerging SAP and hyperscaler AI capabilities (GenAI Hub, agent frameworks, vector databases, RAG tooling) and converting them into reusable blueprints, accelerators, and repeatable offerings.
Provide technical leadership, architecture guidance, and mentorship to junior teams members, promoting best practices in AI engineering, data modeling, and cloud-native development.