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 cases
o 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

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.

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.

We transform. SAP solutions into Value

NTT DATA Business Solutions is a fast-growing international IT company and one of the worlds leading SAP partners. We are a full service provider delivering everything from business consulting to implementation of SAP solutions including hosting services and support.