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About the Role

As a Private AI Architect, you will design, develop, and implement secure, scalable, and sovereign AI and GenAI platforms, bridging architecture with hands-on implementation. You will ensure that technological possibilities are transformed into production-ready Enterprise AI solutions, whether dealing with self-hosted LLMs, RAG, or Agentic AI.

Responsibilities

Design, develop, configure, and implement Private AI and GenAI platforms using open-source and self-hosted technologies.
Create high-level and low-level designs, blueprints, and reference architectures for On-Premises, Private Cloud, Hybrid, and Sovereign AI environments.
Develop and implement LLM, RAG, and Agentic AI solutions, covering ingestion pipelines, vector databases, tool integrations, orchestration, and evaluation components.
Bring AI platforms into productive operation using Kubernetes, containerization, and MLOps/LLMOps, managing deployment, monitoring, governance, and troubleshooting.
Deploy and optimize self-hosted Foundation Models and Enterprise AI workloads, improving GPU utilization, quantization, batching, autoscaling, and latency for efficient inference architectures.
Support clients with AI strategy, platform modernization, and infrastructure readiness, driving POCs and MVPs, and contributing expertise to RFPs, proposals, and effort estimations.

Requirements

10-13 years of IT experience, with at least 5 years in AI/ML architecture.
Proven success in implementing Enterprise AI/GenAI solutions in Private Cloud, On-Premises, or Hybrid environments.
Extensive hands-on experience with Private AI and GenAI.
Proficiency in LLMs, RAG, Vector Databases, Prompt Engineering, and Agentic AI.
Experience with frameworks like LangChain, LlamaIndex, Haystack, or Semantic Kernel.
Familiarity with open-source models such as Llama, Mistral, DeepSeek, or Qwen.
Proficiency in Kubernetes, Docker/OpenShift, and MLOps/LLMOps.
Knowledge of technologies like MLflow, Kubeflow, KServe, Ray, vLLM, or Ollama.
Understanding of evaluation, tracing, monitoring, drift detection, and production support.
Knowledge of GPU and AI infrastructures, including NVIDIA Stack, CUDA, MIG, Model Serving, Quantization, Distributed Inference/Training, Storage, and Networking.
Ability to optimize AI workloads for performance, scalability, and availability.
Strong understanding of security, privacy, and sovereign AI.
Excellent stakeholder management skills.
German language proficiency at C1 level or higher.

Skills

Private AI
GenAI
LLMs
RAG
Vector Databases
Prompt Engineering
Agentic AI
LangChain
LlamaIndex
Haystack
Semantic Kernel
Llama
Mistral
DeepSeek
Qwen
Kubernetes
Docker
OpenShift
MLOps
LLMOps
MLflow
Kubeflow
KServe
Ray
vLLM
Ollama
GPU Infrastructure
NVIDIA Stack
CUDA
MIG
Model Serving
Quantization
Distributed Inference
Distributed Training
AI Security
AI Privacy
Sovereign AI

Location

Germany
Austria
Switzerland

Work Type

Flexible working hours
Home Office possibility
Remote Work
Mobile working within the EU

Experience Level

10-13 years IT experience
Minimum 5 years AI/ML architecture experience

Benefits

Flexible working hours with flextime arrangement
Travel time is considered working time
Home Office possibility with compensation subsidy including work equipment
30 days of vacation
December 24th and 31st are non-working days
Sabbatical up to one year
Remote Work and mobile working within the EU
Attractive benefit and remuneration optimization programs
Company pension scheme
JobRad (company bicycle leasing)
Jobticket (public transport ticket)
Exclusive discounts via Corporate Benefits
Extensive health and prevention offers
Extended sick pay
Company medical support
Accident insurance (including for leisure accidents worldwide)
Family service
Internal and external training opportunities in the NTT DATA Academy
Access to Udemy
Various communities and initiatives (Diversity, Equity & Inclusion, ESG, etc.)
Team-oriented corporate culture with significant scope for action

About the Company

Part of NTT DATA, a leading provider of enterprise and technology services, AI, and digital infrastructure with over $30 billion in revenue.
Global Top Employer.
Serves 75% of Fortune Global 100 companies.
Develops innovative solutions with experts in over 70 countries.
Has 15 locations in Germany, Austria, and Switzerland within the DACH region.

Equal Opportunity

Diversity is an essential part of our success and corporate culture.
We welcome you without prejudice regarding gender, sexual orientation, age, ethnic and social origin, religion, or disability.
People with severe disabilities are preferred if equally qualified.