Sr. AI Principal Architect

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 230,000 - 300,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a senior AI Principal Architect to lead enterprise Conversational and Agentic AI initiatives. You will design and implement AI agents, build voice-enabled applications, and scale solutions with AWS Bedrock and foundation models.

You will guide PoCs to production, enforce security and governance, and mentor engineering teams in a fast-paced cloud environment.

Qualifications

• 15+ years of IT experience with significant AI/ML, Generative AI, or Conversational AI experience.
• Strong hands-on 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 real-time voice AI technologies.
• 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 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 apps including voice assistants, chatbots, and virtual agents.
• Leverage AWS Bedrock and foundation models for scalable Generative AI.
• Implement RAG, embeddings, vector databases, tool Calls, memory, and multi-agent workflows.
• Collaborate with AWS Nova Sonic for real-time voice AI use cases.
• Establish AI security, governance, observability, scalability, and performance standards.
• Provide technical leadership, conduct architecture reviews, mentor AI engineering teams.
• Guide AI solutions from PoCs to production deployment.

Skills

Python

AWS cloud

AWS Bedrock

LangChain

LangGraph

MCP

Real-time voice AI

Agentic AI

LLMs

RAG

Embeddings

Vector DBs

Prompt engineering

APIs

Microservices

Event-driven

Cloud security

Production AI

Tools

LangChain

LangGraph

AWS Bedrock

AWS Nova Sonic

Job description

We are seeking a senior-level AI Principal Architect with deep expertise in Conversational AI, Generative AI, Agentic AI, and AWS cloud technologies. The ideal candidate will lead enterprise AI architecture, design intelligent conversational solutions, and guide complex AI initiatives from proof of concept to production.

Key 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.

Required Skills:

15+ years of overall IT experience with significant AI/ML, Generative AI, or Conversational AI experience.

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), including MCP client/server architecture.

Experience with AWS Nova Sonic or comparable real‑time voice AI technologies.

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.

Preferred Qualifications:

Enterprise Conversational AI platform development.

Voice AI, speech‑to‑text, text‑to‑speech, and real‑time speech technologies.

AWS Lambda, ECS/EKS, API Gateway, S3, DynamoDB, OpenSearch, CloudWatch, and IAM.

CI/CD, DevOps, MLOps, and AI observability.

Experience leading architecture discussions with senior technical and business stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.