AI Solutions Architect
Tasks
- Create architecture acceptance criteria for production deployment
- Define AI security identity and trust architecture
- Define current state target state and transitional architectures
- Define document ingestion chunking metadata embedding and indexing
- Define human in the loop and approval workflow controls
- Define monitoring rollback and exception management criteria
- Define retrieval patterns and citation groundedness evaluation
- Design data flows and integration architectures for AI systems
- Design end to end enterprise AI solution architectures
- Design generative AI and model architectures
- Design prompt architecture context assembly and response validation
- Design retrieval augmented generation knowledge architectures
- Design secure and reliable AI agent architectures
- Establish AI evaluation quality engineering and automated evaluation gates
- Perform AI specific threat modeling and abuse testing
- Translate business requirements into technical designs
- Validate designs through prototyping and hands on analysis
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Access Control | Access Management | Agentic AI | Cybersecurity | Data Governance | Embeddings | Event Driven | Event-driven architecture | GRPC | Generative AI | GraphQL | Identity and Access Management | Identity and access | Information Retrieval | Language Processing | Least Privilege | Logging | Machine Learning | Messaging | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | OAuth | Observability | OpenID Connect | Prompt engineering | REST | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Threat modeling | Vector Databases | Zero Trust
Education
N/A
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