Lead AI Architect - Generative & Conversational AI

Valiant Technologies LLC; Dallas (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Valiant Technologies LLC seeks a senior AI Principal Architect to lead enterprise AI architecture across Conversational AI, Generative AI, and Agentic AI on AWS. You will design scalable, production-ready AI solutions and guide complex initiatives from PoCs to deployment.

The role requires deep hands-on expertise in Python, LangChain, LangGraph, MCP, and AWS Bedrock, with a focus on security, governance, observability, and high performance.

Qualifications

• Hands-on expertise in Python and AWS cloud architecture.
• Extensive experience with AWS Bedrock and foundation models.
• Experience with LangChain and LangGraph.
• Knowledge of MCP (Model Context Protocol) and real-time voice AI tech.

Responsibilities

• Lead the architecture and design of enterprise-grade Conversational AI and Agentic AI solutions.
• Design and implement AI agents using Python, LangChain, LangGraph, and MCP.
• Build conversational applications, including voice-enabled assistants, chatbots, and virtual agents.
• Leverage AWS Bedrock and foundation models to develop scalable Generative AI solutions.
• Implement RAG architectures, embeddings, vector databases, tool/function calling, memory, and multi-agent workflows.
• Work with AWS Nova Sonic for real-time speech-to-speech conversational AI use cases.
• Establish AI security, governance, observability, scalability, and performance standards.
• Provide technical leadership, conduct architecture reviews, and mentor AI engineering teams.
• Guide AI solutions from PoCs and prototypes through production deployment.

Skills

Python

LangChain

LangGraph

MCP

AWS Bedrock

Foundation models

LLMs

RAG

Vector DBs

Prompt engineering

APIs

Microservices

Event-driven

Cloud security

Production AI systems

Architectural leadership

Job description

Valiant Technologies LLC seeks a senior AI Principal Architect to lead enterprise AI architecture across Conversational AI, Generative AI, and Agentic AI on AWS. You will design scalable, production-ready AI solutions and guide complex initiatives from PoCs to deployment.

The role requires deep hands-on expertise in Python, LangChain, LangGraph, MCP, and AWS Bedrock, with a focus on security, governance, observability, and high performance.