AI Architect - AI and Data - Industries
Tasks
- Build AI solutions
- Conduct discovery workshops
- Create reusable documentation and accelerators
- Create tested documented code
- Define acceptance criteria
- Design AI use cases
- Develop data governance strategies
- Facilitate client delivery
- Implement LLM RAG features
- Implement LLMOps and MLOps processes
- Set up monitoring evaluation guardrails
- Translate needs into user stories
Perks/Benefits
- Charging card
- Coaching
- Company car
- Eco vouchers
- Flexible working hours
- Health insurance
- IPhone subscription
- Meal vouchers
- Mobility budget
- Onboarding program
- Pension plan
- Training
- Work from home
Skills/Tech-stack
AI Act | API | AWS | Agents | Azure | Data Governance | Data Pipelines | Databricks | Deep learning | Deployment | ELT | ERP | ETL | EU AI | EU AI Act | Embeddings | Evaluation | FastAPI | Generative AI | Google Cloud | Guardrails | LLMOps | Lakehouse | Langchain | Llamaindex | MLOps | Machine Learning | Monitoring | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | SAP | SQL | Snowflake | Vector Databases
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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