What are the responsibilities and job description for the Senior AI architect with SAP Background position at Cloudious?
Senior AI architect with SAP Background
Bellevue, WA- Onsite
Contract-6 Months
Experience
12 15 years overall experience
3 5 years in AI / ML / data-driven solutions
Prior experience in SAP projects (delivery, support, or architecture)
Key Responsibilities
SAP-Centric Use Case Design
Client Engagement
Contract-6 Months
Experience
12 15 years overall experience
3 5 years in AI / ML / data-driven solutions
Prior experience in SAP projects (delivery, support, or architecture)
Key Responsibilities
- AI Solution Architecture (SAP-focused)
- Design AI solutions for SAP landscapes (ECC, S/4HANA, BTP)
- Experience with the following stacks
- SAP AI (Joule, BTP, Business AI) Minimal experience is fine
- Hyperscaler AI (Azure OpenAI, AWS Bedrock, Google Cloud Platform) Core experience
- Other Open-source AI stacks
- Experience in patterns like:
- RAG (use enterprise data with LLMs safely)
- Agent-based automation
- A2A, MCP
- Experience in building AI solutions that integrates with SAP workflows and processes
SAP-Centric Use Case Design
- Identify and design AI use cases across:
- SAP operations (Basis, incidents, monitoring)
- Business functions (Finance, Supply Chain, HR)
- Translate SAP business problems into practical AI solutions
- Build Reusable Assets (IP)
- Create accelerators for:
- SAP AI use cases
- Prompt libraries
- Agent frameworks
- Package solutions for reuse across customers
Client Engagement
- Run workshops with business and IT teams
- Convert requirements into solution arch
- Guide teams building AI solutions end-to-enditecture
- Present options with clear trade-offs (cost, scale, risk)
- Ensure solutions move from POC production
- Troubleshoot real issues: data gaps, integration failures, performance
- Integration & Architecture (strong technical experience)
- Design APIs, data flows, and integrations across:
- SAP systems
- AI platforms
- Enterprise data layers
- Support hybrid environments (cloud on-prem)
Core Skills Required
Hands-on with:
- SAP Enterprise Understanding (Must Have)
- Working knowledge of SAP (any of):
- S/4HANA, ECC, Basis, integration layers
- Understanding of SAP use cases (operations, business processes)
- AI / GenAI Skills (Must Have)
Hands-on with:
- LLMs (GPT, Claude, Llama)
- RAG architectures
- Prompt engineering
- Familiar with:
- Agent frameworks or workflow automation with AI
Technology Skills
Python (expertise level)
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
Python (expertise level)
- APIs and system integration (architect level)
- Strong Experience with at least one AI ecosystem:
- Cloud AI (Azure / AWS / Google Cloud Platform), or
- 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