We are looking for a highly experienced Principal AI Architect / Conversational AI Architect / GenAI Solutions Architect to join our external technical interview panel.

The ideal professional should have strong hands-on expertise in Conversational AI, AWS, Python, LangChain, LangGraph, Model Context Protocol (MCP), Amazon Nova Sonic, and Amazon Bedrock .

The selected panelist will conduct advanced technical interviews to assess candidates for Principal AI Architect positions.

Key Responsibilities

- Conduct in-depth technical interviews for senior and principal-level AI Architect candidates.
- Evaluate expertise in Conversational AI, voice AI agents, real-time speech-to-speech systems, and GenAI applications.
- Assess hands-on proficiency in Python, LangChain, LangGraph, and MCP.
- Evaluate architecture and implementation experience with Amazon Bedrock and Amazon Nova Sonic.
- Assess LLM orchestration, agentic workflows, tool calling, and multi-agent architectures.
- Evaluate low-latency conversational AI systems, streaming, session management, and scalability.
- Conduct scenario-based architecture discussions involving real-world enterprise AI applications.
- Assess AWS cloud architecture, security, deployment, monitoring, and performance optimization.
- Provide structured technical feedback,



candidate ratings, and hiring recommendations.

Mandatory Technical Skills ✅ Conversational AI & Voice AI Architecture

✅ AWS Cloud Architecture

✅ Python

✅ LangChain & LangGraph

✅ Model Context Protocol (MCP)

✅ Amazon Nova Sonic

✅ Amazon Bedrock

✅ Generative AI, LLMs & Agentic AI

✅ Real-Time AI Applications & API Integration

Preferred Qualifications

- 15+ years of overall technology experience, including significant AI/ML and GenAI architecture experience.
- Currently or previously working as a Principal AI Architect, Chief AI Architect, Distinguished AI Engineer, or equivalent.
- Proven experience designing and deploying production-grade conversational AI solutions.
- Strong understanding of real-time voice AI, streaming architecture, latency optimization, and LLM orchestration.
- Experience conducting technical interviews for senior/principal architect-level positions.
- Excellent communication, analytical, and technical evaluation skills.

Engagement Details

- Remote technical interviews (60–90 minutes).
- Flexible scheduling based on availability.
- Compensation per completed interview.
- Prospect for ongoing interview-panel assignments.

📌 Freelance Technical Interviewer (India)
🏢 Intellectt
📍 India