Senior Agentic AI Architect/Engineer
USD 114K-195K (estimate) Senior-level Full Time
Tasks
- Architect Agentic AI solutions
- Architect Generative AI and RAG pipelines
- Build MLOps infrastructure
- Design secure AI system architectures
- Develop data ingestion and document processing pipelines
- Implement CI/CD pipelines
- Implement PII filtering
- Lead AI projects
- Optimize ML system performance
- Provision cloud infrastructure with Terraform
- Set up logging and alerting
Perks/Benefits
Skills/Tech-stack
AI Search | Agent systems | Agile Framework | Airflow | Alerting | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Azure OpenAI | CI/CD | Causal Inference | Cosmos DB | Docker | Gemini | Infrastructure as Code | Logging | MLOps | Matrix Factorization | MongoDB Atlas | Multi-Agent | Multi-Agent Systems | NoSQL | Observability | PGVector | PII filtering | Polars | PostgreSQL | Python | Redis | Retrieval-Augmented Generation | SQL | Scaled Agile | Scaled Agile Framework | Terraform | Vector Databases | Vector Search | XGBoost | “as-code”
Education
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