AI Solution Architect / Senior AI Engineer (w/m/d)
Tasks
- Build AI engineering backend and APIs
- Create demos and technical storytelling
- Define AI architecture best practices
- Design develop and operate agentic AI solutions
- Design develop and operate generative AI solutions
- Implement cloud and platform engineering
- Implement secure scalable cost efficient AI architectures
- Integrate AI solutions into cloud and platform landscapes
- Support presales and offer phases with solution architectures and technical concepts
Perks/Benefits
- Deferred compensation
- Employee discounts
- Extended sick pay
- Flexible working hours
- Health programs
- Hybrid work
- International network
- Job bike program
- Mobile work
- Mobility budget
- Team events
- Training and development
- Work-life balance
Skills/Tech-stack
API Development | AWS | Agentic AI | Architecture Design | Backend Development | CI/CD | Cloud platform | Containers | Deployment Patterns | DevOps | Distributed Systems | Embeddings | Evaluation | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | LLM APIs | LLMOps | Microservices | Microsoft Azure | Monitoring | Prompt engineering | RAG | Retrieval-Augmented Generation | Scalability | Security | Testing | Version control | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Solution Architect | Architect | Engineer | Senior AI Engineer | Solution Architect
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