AI Solution Architect / Senior Engineer Financial Services (w/m/d)
Tasks
- Build AI engineering backend and API services
- Build microservices and distributed systems
- Define AI architecture best practices
- Deploy and monitor AI systems
- Design develop and operate GenAI solutions
- Design develop and operate agentic AI solutions
- Implement CI/CD pipelines
- Implement infrastructure-as-code
- Implement secure AI architectures
- Integrate AI solutions into cloud platforms
- Optimize AI performance and cost
- Support demos and technical storytelling
- Support presales solution architecture and technical concepts
Perks/Benefits
- Deferred compensation
- Employee discounts
- Flexible working hours
- Health benefits
- Hybrid work
- International network
- Job bike program
- Mobile working
- Mobility budget
- Team and sports events
- Training and development
- Work from home option
- Work-life balance
Skills/Tech-stack
API Development | AWS | Agentic AI | Architecture Design | Azure | Backend Development | CI/CD | Cloud Computing | Cloud platform | Containerization | Deployment | DevOps | Distributed Systems | Embeddings | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | LLM APIs | LLMOps | Language Models | Large Language Models | Microservices | Model Evaluation | Monitoring | Prompt engineering | Retrieval-Augmented Generation | SDLC | Scalability | Security | Testing | Version control | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Solution Architect | Architect | Engineer | Software Architect | Solution Architect
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