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AI Architect

THE TILTED CIRCLE LLCUnited States🇺🇸United StatesPosted 11 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
18 hours ago
MicroservicesAWSMachine LearningAzureGenerative AIGoogle CloudLLMPyTorchPythonTensorFlow

Job Description

Position: AI Architect
Location: Remote
Duration: 12+ Months Contract

AI Architect (Google AI Arch)

on W2

Looking for AI Architect (Google AI Architect) with below skills

  • Google Cloud Tensor Processing Units
  • TPU TensorFlow, and PyTorch

Key Responsibilities

TPU Configuration & Optimization

We are seeking an experienced AI Architect with strong expertise in Agentic AI systems to design and implement intelligent, autonomous AI solutions that can reason, plan, and execute complex tasks. The ideal candidate will have deep experience in large language models (LLMs), multi-agent systems, orchestration frameworks, and AI infrastructure, along with the ability to translate business requirements into scalable AI architectures.
This role will involve architecting end-to-end AI solutions, guiding engineering teams, and ensuring reliable deployment of agent-based AI systems across enterprise environments.

Required Qualifications

  • Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 9+ years of experience in software engineering, machine learning, or AI architecture.
  • 3+ years of experience working with LLM-based systems and generative AI solutions.
  • Strong experience designing Agentic AI or multi-agent architectures.
  • Proficiency with Python and AI/ML frameworks.
  • Hands-on experience with LLM orchestration frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar.
  • Experience working with vector databases (Pinecone, Weaviate, FAISS, etc.).
  • Knowledge of RAG architectures, prompt engineering, tool integration, and memory management in AI agents.
  • Experience deploying AI workloads in cloud environments (Azure, AWS, or Google Cloud Platform).
  • Strong understanding of API design, microservices architecture, and distributed systems.

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