Senior AI Automation Architect / GenAI Engineer

About this Gig

Enterprise-grade IT systems professional with 15+ years of experience leveraging cutting-edge, AI-native development workflows (Cursor, LLMs, LangGraph) to achieve 10x product delivery velocity. Expert in architecting complex multi-agent systems, designing deterministic RAG pipelines, and orchestrating intelligent business automations. Combines deep foundational knowledge of system architecture, databases, and logic with modern AI orchestration to deploy highly optimized, secure applications.

Requirements

To ensure a seamless kickoff and maximum development velocity, I typically request the following from a client before beginning a project: 1. Clear Objectives & Scope: A brief summary of the exact business problem we are solving (e.g., automating a workflow, building an AI agent, or extracting specific data). 2. Access to Technical Infrastructure & Assets: Relevant API documentation, API keys (OpenAI, Anthropic, etc.), or existing codebase repositories if applicable. For RAG/Knowledge Base projects: Secure access to the raw source data, compliance documents, or text corpus needing processing. 3. Process Rules & Logic Requirements: If the AI agent needs to make decisions or compute values, a breakdown of the business logic or deterministic math rules it must follow. 4. A Designated Technical Point of Contact: A quick communication channel (such as Slack, Teams, or Jira) for fast, asynchronous architectural feedback, expectations alignment, and testing verification.

Related Tags