What are the responsibilities and job description for the Senior AI Architect with SAP Background position at ThinkNorth LLC?
Hi,
Role: Senior AI Architect with SAP Background
Location: Bellevue, WA (Onsite)
Duration: 12 Months
Role Summary
Looking for a senior AI architect who can design and deliver AI solutions in SAP environments.
This role blends SAP knowledge GenAI to build real, scalable solutions.
Key Responsibilities
1. AI Solution Architecture (SAP-focused)
• Design AI solutions for SAP landscapes (ECC, S/4HANA, BTP)
• Experience with the following stacks
o SAP AI (Joule, BTP, Business AI) – Minimal experience is fine
o Hyperscaler AI (Azure OpenAI, AWS Bedrock, Google Cloud Platform) – Core experience
o Other Open-source AI stacks
• Experience in patterns like:
o RAG (use enterprise data with LLMs safely)
o Agent-based automation
o A2A, MCP
• Experience in building AI solutions that integrates with SAP workflows and processes
2. SAP-Centric Use Case Design
• Identify and design AI use cases across:
o SAP operations (Basis, incidents, monitoring)
o Business functions (Finance, Supply Chain, HR)
• Translate SAP business problems into practical AI solutions
3. Build Reusable Assets (IP)
• Create accelerators for:
o SAP AI use cases
o Prompt libraries
o Agent frameworks
• Package solutions for reuse across customers
4. Client Engagement
• Run workshops with business and IT teams
• Convert requirements into solution architecture
• Present options with clear trade-offs (cost, scale, risk)
5. Delivery & Technical Leadership
• Guide teams building AI solutions end-to-end
• Ensure solutions move from POC → production
• Troubleshoot real issues: data gaps, integration failures, performance
6. Integration & Architecture (strong technical experience)
• Design APIs, data flows, and integrations across:
o SAP systems
o AI platforms
o Enterprise data layers
• Support hybrid environments (cloud on-prem)
Core Skills Required
SAP Enterprise Understanding (Must Have)
• Working knowledge of SAP (any of):
o S/4HANA, ECC, Basis, integration layers
• Understanding of SAP use cases (operations, business processes)
AI / GenAI Skills (Must Have)
• Hands-on with:
o LLMs (GPT, Claude, Llama)
o RAG architectures
o Prompt engineering
• Familiar with:
o Agent frameworks or workflow automation with AI
Technology Skills
• Python (expertise level)
• APIs and system integration (architect level)
• Strong Experience with at least one AI ecosystem:
o Cloud AI (Azure / AWS / Google Cloud Platform), or
o Open-source stack (LangChain, Hugging Face, etc.)
Good to Have (Not Mandatory)
• SAP BTP, Joule, SAP AI Core / Launchpad
(Can be learned on the job)
• Experience in SAP managed services or SAP transformation programs
• Exposure to AIOps / automation solutions in SAP
Experience
• 12–15 years overall experience
• 3–5 years in AI / ML / data-driven solutions
• Prior experience in SAP projects (delivery, support, or architecture)
Nice-to-Have Certifications
• Cloud AI certifications (Azure AI, AWS ML, Google Cloud Platform ML)
• SAP BTP / SAP certifications (optional)
Best Regards,
Sam Baker
1
Lead Technical Recruiter