AI Solution Architect
Tasks
- Architect AI and GenAI solutions end to end
- Architect agentic systems
- Create technical proposals effort estimates and workshops
- Define AI evaluation and quality benchmarks
- Design AI and GenAI technical architecture decisions
- Design LLMOps MLOps deployment pipelines
- Design RAG retrieval architectures
- Design cost efficient inference architectures
- Design observability monitoring and drift detection
- Design responsible AI safety governance and security controls
- Specify AI data requirements and feature pipelines
- Support delivery technical authority and escalations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Security | Agentic Workflows | Artificial Intelligence | Caching | Data Leakage Prevention | Data Modeling | Data Pipelines | Data leakage | Data platforms | Drift Detection | Embeddings | Evaluation | Explainability | Feature Engineering | FinOps | Generative AI | Haystack | Human oversight | Human-in-the-loop | Hybrid search | Inference Optimization | LLMOps | Langchain | Language Models | Large Language Models | Leakage prevention | Llamaindex | MLOps | Model Drift | Model Drift Detection | Model Serving | Model Training | Monitoring | Observability | Orchestration | Prompt injection | RAG | Re-ranking | Responsible AI | Retrieval-Augmented Generation | Secure tool use | The Loop | Token Economics | Tool use | Vector Databases
Roles
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