AI Technical /Solution Architect

Job Description:

AI Technical /Solution Architect 
or AI Specialist depending on experience
Key Responsibilities•    Architect and deliver end-to-end AI solutions for enterprise use cases (e.g., document automation, conversational assistants, search/knowledge copilots, forecasting) across business domains.
•    Lead technical discovery and advisory: translate business needs into AI solution options, trade-offs, estimates, and implementation roadmaps.
•    Design GenAI patterns and reference architectures (RAG, tool/function calling, agentic workflows), including data flows, latency/cost considerations, and reliability requirements.
•    Build and optimize prompts, system instructions, and evaluation datasets; establish iterative improvement loops using offline/online metrics.
•    Integrate AI capabilities into enterprise platforms and workflows (including ERP/CRM and business process automation tools) via APIs, event-driven patterns, and integration middleware.
•    Partner with security, data, platform, and DevOps teams to ensure production readiness: identity/access, data protection, guardrails, monitoring, and incident response.
•    Stay current on AI/GenAI trends, enterprise AI governance, and platform capabilities to proactively propose improvements and new use cases.
•    Design and govern agentic AI systems: define agent roles, tool/function interfaces, planning strategies, memory/context management, and human-in-the-loop controls for safe autonomous execution.
•    Establish agent evaluation and safety testing (simulations, sandboxing, permissioning, tool abuse prevention) and define success metrics for autonomy, reliability, and cost.
•    Excellent communication skills to different stake holders

Specific Responsibilities:
•    Technical and Use cases Lead for aXet (
o    deep understanding of existing aXet capabilities and use caseso    lead new SAP use cases implementation with Inc  
o    propose new SAP use cases that could be integrated in aXet
•    Technical Lead for AI Hub 
o    Technical enablement of Hub members
o    First point of contact for technical aspects of Hub offering
o    Active member of Innovation community

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Required Skills & Qualifications
•    Proven experience designing and building AI/ML or GenAI applications in an enterprise environment.•    Strong understanding of LLMs, vector search, retrieval-augmented generation (RAG), prompt engineering, and evaluation approaches.
•    Strong programming experience in Python and experience integrating with services via RESTful APIs.
•    Ability to design end-to-end solution architectures (data ingestion, model/runtime, orchestration, integration, observability) and make pragmatic trade-offs.
•    Knowledge of security and responsible AI fundamentals (PII handling, access control, content safety/guardrails, compliance considerations).
•    Excellent communication, stakeholder management, and documentation skills; comfortable advising technical and non-technical audiences.
•    Hands-on experience with agentic AI concepts (tool use, planning, reflection, memory), and with designing/evaluating agents in production-like environments.
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Preferred Qualifications
•    University degree
•    Experience with cloud AI platforms such as Azure AI (Azure OpenAI, Azure AI Search, Azure ML) or equivalent services on other clouds.•    Experience with enterprise integration patterns and middleware (API management, messaging/event streaming, iPaaS).
•    Hands-on experience with AI observability, evaluation, and governance (model/prompt versioning, monitoring, red teaming, quality gates).
•    Familiarity with agent and orchestration frameworks such as Semantic Kernel, LangChain/LangGraph, LlamaIndex, AutoGen, or similar.
•    Experience with low-code/no-code platforms for rapid prototyping and workflow automation.
•    Exposure to SAP ecosystems (e.g., SAP BTP, SAP Build, Integration Suite) is a plus, especially for ERP-centric use cases.