AI Architect

AI Architect

Location:

Johns Creek, GA

• Hands-On Development & POCs
• Build rapid POCs demonstrating:
• Multi-agent collaboration
• Autonomous task execution
• Agents interacting with client’s APIs, data platforms, and operational systems
• MCP-based tool integrations for internal systems
• Develop reference implementations using:
• Vertex AI Agent Builder
• Gemini models
• GPT-based agents
• GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
• Create debugging, observability, and evaluation frameworks for agent behavior.

• Define client’s Agentic AI vision, including multi-agent patterns, orchestration models, and enterprise integration strategy.

• A2A (Agent-to-Agent) protocol–based systems
• MCP servers and tool providers
• Agent orchestration frameworks (e.g., Lang Chain, Llama Index, Vertex AI Agents)
• Tool-calling and function-calling ecosystems
• Establish reusable patterns for agent autonomy, delegation, memory, and safety.

Integrate agentic systems with client’s:

• GCP data ecosystem (Big Query, Pub/Sub, Cloud Run)
• APIs, microservices, and event-driven systems
• Identity, security, and governance frameworks
• Define standards for agent safety, guardrails, and responsible autonomy.

• Drive AI/Agentic use case discovery with client’s business and technology leaders.
• Shape proposals, solution narratives, and executive presentations.
• Act as the primary AI/Agentic technical advisor for the client’s account.

• Partner with cloud, data engineering, product, and business teams to deliver cohesive solutions.
• Mentor engineers on agentic patterns, tool integration, and modern AI development.