Haystack
← Back to Jobs
Remote
Technology
EX

AI Lead or AI Architect / Remote

Exatech IncAustin, TX🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

Lead the design and development of cutting-edge AI and Generative AI solutions from a remote setting, offering significant growth potential and the chance to shape enterprise AI architecture. If you excel in AI/ML, LLMs, cloud platforms, and collaborative environments, this impactful role is an excellent opportunity to advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
Austin, TX, United States
Posted
17 hours ago
MicroservicesAWSAzureGenerative AIGoogle CloudLLMPythonREST

Job Description

Job Title: AI Architect / AI Lead

Location: Remote

Job Summary:

We are looking for an experienced AI Architect / AI Lead to design and lead the development of AI and Generative AI solutions. The ideal candidate should have strong experience in AI/ML, LLMs, cloud platforms, and enterprise AI architecture, along with the ability to work closely with business and technical teams.

Key Responsibilities:

  • Design scalable and secure AI/ML and Generative AI solutions for enterprise applications.
  • Lead the architecture and development of LLM-based applications, AI agents, and RAG solutions.
  • Evaluate and select appropriate AI models, frameworks, and cloud services.
  • Develop solutions using technologies such as Python, LLMs, RAG, LangChain/LangGraph, APIs, and vector databases.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying AI solutions.
  • Lead technical discussions, architecture decisions, POCs, and production implementations.
  • Collaborate with engineering, product, and business teams to identify and implement AI use cases.
  • Establish best practices around AI security, scalability, performance, monitoring, and governance.
  • Mentor developers and provide technical leadership to the AI team.

Required Skills:

  • Strong experience in AI/ML and Generative AI.
  • Hands-on experience with LLMs, RAG, AI Agents, and Prompt Engineering.
  • Strong Python programming experience.
  • Experience with LangChain, LangGraph, or similar AI frameworks.
  • Experience with Vector Databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Experience with AWS, Azure, or Google Cloud Platform AI/ML services.
  • Strong understanding of REST APIs, microservices, and cloud architecture.
  • Experience designing and deploying AI solutions in production.
  • Strong communication, leadership, and problem-solving skills.

Similar jobs