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Artificial Intelligence Engineer(m/w/x)
Designing core AI frameworks and implementing complex LLM workflows for a sustainable private bank. Expert-level LLM integration and prompt engineering skills required. Above average insurance coverage, health contribution, and meal allowance.
Requirements
- University degree in Computer Science, Software Engineering, or related field
- Minimum 7 years software development and architecture experience, delivering AI/ML solutions in complex, regulated environments (Finance, Insurance, or Healthcare)
- Expert-level knowledge of LLM integration, prompt engineering, and fine-tuning
- Highly proficient in Python, Java (Spring Boot), or Node.js
- Extensive experience with Cloud-native design (AWS/GCP/Azure), Docker, Kubernetes, and Serverless architectures
- Strong understanding of data architecture, including SQL, NoSQL, and management of manufacturing or transactional process data
- Familiarity with OT/IT security, IAM/PAM architecture, and secure data-sharing governance
- Fluency in English; other languages are an advantage
Tasks
- Serve as technical architect
- Contribute to private banking AI ecosystem
- Bridge AI strategy and production implementation
- Design core AI frameworks
- Implement complex AI workflows
- Use state-of-the-art orchestration frameworks
- Support stateful, multi-turn interactions
- Integrate multi-model environments
- Optimize for latency, cost, and token usage
- Architect high-performance RAG pipelines
- Use vector databases for model accuracy
- Implement security-first AI design
- Ensure data residency and privacy compliance
- Deploy secure on-premises or private cloud LLMs
- Lead development of production-grade AI agents
- Develop auto-healing code agents
- Create intelligent document search assistants
- Define DevOps and MLOps standards
- Set up CI/CD pipelines for AI models
- Develop automated testing frameworks
- Ensure AI reliability in production
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Native
- other – Basic
Tools & Technologies
- Python
- Java
- Spring Boot
- Node.js
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Serverless architectures
- SQL
- NoSQL
- LLM
Benefits
Other Benefits
- Above average insurance coverage
Healthcare & Fitness
- Health insurance contribution
Additional Allowances
- Meal allowance
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Artificial Intelligence Engineer(m/w/x)
Designing core AI frameworks and implementing complex LLM workflows for a sustainable private bank. Expert-level LLM integration and prompt engineering skills required. Above average insurance coverage, health contribution, and meal allowance.
Requirements
- University degree in Computer Science, Software Engineering, or related field
- Minimum 7 years software development and architecture experience, delivering AI/ML solutions in complex, regulated environments (Finance, Insurance, or Healthcare)
- Expert-level knowledge of LLM integration, prompt engineering, and fine-tuning
- Highly proficient in Python, Java (Spring Boot), or Node.js
- Extensive experience with Cloud-native design (AWS/GCP/Azure), Docker, Kubernetes, and Serverless architectures
- Strong understanding of data architecture, including SQL, NoSQL, and management of manufacturing or transactional process data
- Familiarity with OT/IT security, IAM/PAM architecture, and secure data-sharing governance
- Fluency in English; other languages are an advantage
Tasks
- Serve as technical architect
- Contribute to private banking AI ecosystem
- Bridge AI strategy and production implementation
- Design core AI frameworks
- Implement complex AI workflows
- Use state-of-the-art orchestration frameworks
- Support stateful, multi-turn interactions
- Integrate multi-model environments
- Optimize for latency, cost, and token usage
- Architect high-performance RAG pipelines
- Use vector databases for model accuracy
- Implement security-first AI design
- Ensure data residency and privacy compliance
- Deploy secure on-premises or private cloud LLMs
- Lead development of production-grade AI agents
- Develop auto-healing code agents
- Create intelligent document search assistants
- Define DevOps and MLOps standards
- Set up CI/CD pipelines for AI models
- Develop automated testing frameworks
- Ensure AI reliability in production
Work Experience
- 7 years
Education
- Bachelor's degree
Languages
- English – Native
- other – Basic
Tools & Technologies
- Python
- Java
- Spring Boot
- Node.js
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Serverless architectures
- SQL
- NoSQL
- LLM
Benefits
Other Benefits
- Above average insurance coverage
Healthcare & Fitness
- Health insurance contribution
Additional Allowances
- Meal allowance
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bank J. Safra Sarasin
Industry
FinancialServices
Description
The company is a leading sustainable private bank offering personalized services in investment advisory and asset management.
Not a perfect match?
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