Demo

Senior AI Architect with SAP Background

ThinkNorth LLC
Bellevue, WA Contractor
POSTED ON 6/26/2026
AVAILABLE BEFORE 7/25/2026

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


 

...

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