About this role
Lead AI Architect to design and implement enterprise-scale AI solutions, including agent frameworks, RAG architectures, MCP servers, vector database strategies, and integrations with model providers (e.g., AWS Bedrock, Azure). The role also includes ensuring security and responsible AI practices, establishing observability and evaluation frameworks, mentoring teams, and guiding production deployments.
Skills for this role
Agentic systemsAI agentsAgent frameworksDeveloper toolingAI platform integrationModel provider integrationMCP (Model Context Protocol)MCP serversMulti-model orchestrationRAGRetrieval-Augmented Generation (RAG)Vector databasesVector database optimizationFunction callingStructured output schemasAWS BedrockAzure OpenAIAnthropicModel selectionModel routingAI observabilityPrompt engineeringAI evaluation frameworksOWASP LLM Top 10Prompt injection mitigationPII leakage preventionLangChainLangGraphCrewAIAutoGen (framework)