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AI Architect

QUANTUM TECHNOLOGIES LLCDallas, TX🇺🇸United StatesPosted Sep 16, 2026

Quick Overview

Salary
$87/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
Yesterday
MicroservicesMLOpsAzureGenerative AIHugging FaceLLMPyTorchPythonREST

Job Description

Job Title: AI Architect

Location: Dallas, TX

Duration: 6 Months + Extension

Bill Rate: $87/hour

Job Type: C2C Contract

Client: To Be Discussed Later

Work Authorization:

  • USC
  • GC
  • H-1B
  • OPT-EADGC-EAD

Job Description :

  • Design and architect scalable AI/ML and Generative AI solutions for enterprise applications.
  • Develop and integrate LLM-powered applications, AI agents, RAG pipelines, and conversational AI systems.
  • Work extensively with AI frameworks and tools such as PyTorch, Hugging Face, LangChain, and LangGraph.
  • Build production-ready AI services and backend integrations using Python.
  • Design and implement REST APIs, microservices, and backend integrations for AI applications.
  • Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
  • Design multi-step AI agent workflows using frameworks such as LangGraph or LangChain.
  • Integrate foundation models and LLM APIs from providers such as OpenAI, Azure OpenAI, Anthropic, or other leading platforms.
  • Implement prompt engineering, model evaluation, fine-tuning, and inference optimization where appropriate.
  • Build AI systems with strong emphasis on reliability, scalability, security, and performance.
  • Implement AI safety guardrails, content filtering, access controls, and responsible AI practices.
  • Develop output validation and evaluation mechanisms to ensure accuracy, consistency, and compliance.
  • Establish LLMOps/MLOps pipelines for deployment, monitoring, evaluation, and continuous improvement.
  • Monitor model performance, latency, cost, errors, hallucinations, and overall application health in production.
  • Implement logging, tracing, observability, and alerting for AI/LLM applications.
  • Collaborate with engineering, product, data science, and security teams to translate business requirements into AI solutions.
  • Conduct architecture reviews and provide technical guidance on AI/ML design decisions.
  • Evaluate emerging AI technologies, models, frameworks, and tools and recommend their appropriate use.
  • Create technical documentation covering architecture, APIs, workflows, deployment, and operational processes.

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.

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