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Architect Jobs in Austin, TX

Artificial Intelligence Architect

Compu-Vision Consulting Inc.

  • Austin, TX
  • 30+ days ago

    Highlights

    Seeking a senior Artificial Intelligence Architect to define enterprise AI architecture, technical strategy, governance, solution patterns, and implementation approaches for AI, machine learning, Generative AI, and intelligent automation initiatives. Experience with LLMs, RAG, embeddings/vector databases, model APIs, ML pipelines, and enterprise integrations.

    Numbers & Facts

    LocationAustin, TX

    Description

    4. AI Architect
    Role Overview
    Seeking a senior Artificial Intelligence Architect to define enterprise AI architecture, technical strategy, governance, solution patterns, and implementation approaches for AI, machine learning, Generative AI, and intelligent automation initiatives.
    Key Responsibilities
    • Develop enterprise AI and GenAI architecture.
    • Translate business use cases into secure, scalable AI solutions.
    • Architect LLM, RAG, agentic AI, NLP, predictive ML, and intelligent automation solutions where appropriate.
    • Design AI platform, model, data, integration, security, and deployment architecture.
    • Establish reusable AI architecture patterns and standards.
    • Evaluate commercial and open-source AI technologies.
    • Design integrations between AI solutions and enterprise applications/data.
    • Define MLOps/LLMOps architecture.
    • Address model security, privacy, responsible AI, explainability, monitoring, and governance.
    • Collaborate with enterprise architecture, data, cybersecurity, cloud, and application teams.
    • Conduct AI readiness assessments and develop AI roadmaps.
    • Support Microsoft Azure AI and Copilot-related initiatives where appropriate.
    Mandatory Qualifications
    • 8+ years in technology architecture/software/data roles.
    • 3+ years designing enterprise AI/ML solutions.
    • Strong understanding of GenAI and modern AI architectures.
    • Experience with LLMs, RAG, embeddings/vector databases, model APIs, ML pipelines, and enterprise integrations.
    • Cloud AI platform experience.
    • AI security and governance knowledge.
    • Ability to explain AI architecture to technical and executive audiences.
    Highly Preferred
    • Azure AI Foundry / Azure AI services.
    • Azure OpenAI.
    • Microsoft Copilot ecosystem.
    • Databricks.
    • MLflow.
    • Python.
    • Responsible AI frameworks.
    • Agentic AI.
    • MLOps/LLMOps.

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