Sr. AI Principal Architect

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Sr. AI Principal Architect in Dallas to lead enterprise AI architecture, design sophisticated conversational and agentic AI solutions, and guide initiatives from proof of concept to production on AWS cloud.

The role emphasizes deep expertise in Generative AI, LangChain/LangGraph, MCP, and real-time speech technologies, with responsibility for security, governance, and scalable deployments across complex environments.

Qualifications

• 15+ years of IT experience with AI/ML, Generative AI, or Conversational AI focus.
• Strong Python and AWS cloud architecture expertise.
• Hands-on with AWS Bedrock and foundation models.
• Experience with LangChain and LangGraph.
• Familiarity with MCP architecture (client/server).
• Experience with real-time voice AI tech (Nova Sonic or similar).
• Knowledge of AI agents, tool calling, memory, and multi-agent systems.
• Strong API, microservices, and production AI systems understanding.

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-enabled assistants and chatbots.
• Leverage AWS Bedrock and foundation models for scalable Generative AI solutions.
• Implement RAG, embeddings, vector DBs, tool calling, memory, and multi-agent workflows.
• Collaborate with AWS Nova Sonic for real-time speech-to-speech use cases.
• Establish AI security, governance, observability, scalability, and performance standards.
• Provide technical leadership, reviews, and mentorship to AI teams.
• Guide AI solutions from PoCs to production deployment.

Skills

15+ years experience

Python

AWS cloud

AWS Bedrock

LangChain

LangGraph

MCP

AWS Nova Sonic

Agentic AI

LLMs

RAG

embeddings

vector databases

prompt engineering

APIs

microservices

production AI systems

Tools

LangChain

LangGraph

MCP

AWS Bedrock

AWS Nova Sonic

OpenSearch

Job description

Job Overview

Job ID: J53344

Job Title: Sr. AI Principal Architect

Location: Dallas, TX

Duration: 12 Months + Extension

Domain Exposure: Oil & Gas

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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.

Equal Opportunity Employer

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.