AI/ML Solutions Architect

Agentic Architecture: Deep understanding of agent design patterns, state management, and orchestration frameworks

Claude Ecosystem: Hands-on experience with Claude Code, Claude Agent SDK, and Anthropic's tool ecosystem

MCP Proficiency: Understanding of Model Context Protocol architecture for designing client integrations

Agent Frameworks: Practical knowledge of LangGraph, LangChain agents, and multi-agent orchestration patterns

AI-Assisted Workflows: Demonstrated experience with AI coding assistants (Cursor, GitHub Copilot, Claude Code) for rapid prototyping

Tool Ecosystem Design: Ability to architect function calling and tool use strategies for complex client requirements

AgentOps Understanding: Knowledge of agent monitoring, evaluation frameworks, and cost optimization strategies

POC Development: Ability to rapidly build compelling agentic demonstrations using AI-assisted development