AI Solutions Architect

Tasks

• Architect retrieval augmented generation solutions
• Create AI architecture standards
• Create implementation roadmaps
• Define AI context management strategies
• Define AI technical direction
• Define RAG ingestion pipelines
• Define RAG retrieval strategies
• Define graceful degradation strategies
• Define model version control and rollback
• Define prompt management testing and monitoring
• Design LLM resiliency patterns
• Design intent classification and routing frameworks
• Design multi agent orchestration reference architectures
• Establish AI governance practices
• Establish AI safety standards
• Implement cost management
• Implement provider failover
• Implement reranking approaches
• Implement security and privacy protection
• Mitigate hallucinations
• Produce AI architecture documentation and recommendations
• Review AI initiatives and identify improvements
• Set up observability for LLM applications

Perks/Benefits

• Contract extension opportunity
• Flexible consulting environment
• Fully remote
• US time zone overlap

Skills/Tech-stack

AI Governance | AWS | Agent systems | Azure | Context Management | Conversation memory | Cost Management | Embeddings | GCP | Hallucination mitigation | Intent Classification | LLM integration | Langchain | Langgraph | Llamaindex | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Privacy Protection | Prompt management | Provider Failover | Reranking | Responsible AI | Retrieval-Augmented Generation | Rollback procedures | Routing Systems | Security | Software Architecture | Token optimization | Version control