Senior AI architect

Position: Senior AI architect

Location: Bellevue WA***Onsite***

Duration: 1 Years

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
  • SAP AI (Joule BTP Business AI) Minimal experience is fine
  • Hyperscaler AI (Azure OpenAI AWS Bedrock GCP) 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

2. 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

3. Build Reusable Assets (IP)

• Create accelerators for:
  • SAP AI use cases
  • Prompt libraries
  • 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:
  • SAP systems
  • AI platforms
  • Enterprise data layers
• Support hybrid environments (cloud on-prem)

Core Skills Required

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)
• APIs and system integration (architect level)
• Strong Experience with at least one AI ecosystem:
  • Cloud AI (Azure / AWS / GCP) 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

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 GCP ML)
• SAP BTP / SAP certifications (optional)