Senior AI Principal Architect: Conversational & GenAI Lead

Robotic Technologies Automation

Dallas (TX)

On-site

USD 190,000 - 320,000

Full time

3 hours ago
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Job summary

Robotic Technologies Automation seeks a senior AI Principal Architect to lead enterprise Conversational and Agentic AI initiatives. You will design and implement AI agents with Python, LangChain, LangGraph, and MCP, building voice-enabled assistants, chatbots, and virtual agents.

Leverage AWS Bedrock models to create scalable Generative AI solutions and guide projects from PoC to production. We expect 15+ years in IT with strong AI/ML experience, expert Python skills, and deep AWS cloud

Qualifications

  • 15+ years of IT experience with AI/ML, Generative AI, or Conversational AI.
  • Strong hands-on expertise in Python and AWS cloud architecture.
  • Extensive experience with AWS Bedrock and foundation models.
  • Hands-on experience with LangChain and LangGraph.
  • Practical experience with MCP (Model Context Protocol).
  • Experience with AWS Nova Sonic or comparable real-time voice AI tech.
  • Strong understanding of Agentic AI, LLMs, RAG, embeddings, vector databases, and prompt engineering.
  • Experience with AI agents, tool calling, function calling, memory, and multi-agent systems.
  • Strong understanding of APIs, microservices, event-driven architecture, cloud security, and production AI systems.
  • Excellent architecture, communication, problem-solving, and technical leadership skills.

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
AWS cloud architecture
LangChain
LangGraph
MCP (Model Context Protocol)
AWS Bedrock
AWS Nova Sonic
LLMs
RAG
Embeddings
Vector databases
Prompt engineering
Multi-agent systems
APIs & microservices

Tools

LangChain library
LangGraph framework

Job description

Robotic Technologies Automation seeks a senior AI Principal Architect to lead enterprise Conversational and Agentic AI initiatives. You will design and implement AI agents with Python, LangChain, LangGraph, and MCP, building voice-enabled assistants, chatbots, and virtual agents.

Leverage AWS Bedrock models to create scalable Generative AI solutions and guide projects from PoC to production. We expect 15+ years in IT with strong AI/ML experience, expert Python skills, and deep AWS cloud

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