Enterprise AI Architect

Tiger Analytics LLC

  • Dallas, TX
  • 2 days ago

    Highlights

    You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.

    Numbers & Facts

    LocationDallas, TX

    Description

    Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

    Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.

    You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.

    Key Responsibilities

    • Define enterprise AI architecture, standards, and technology roadmap.
    • Design and deliver production-ready Generative AI and Agentic AI solutions.
    • Architect scalable AI platforms leveraging cloud-native technologies and modern data ecosystems.
    • Lead AI solution design, technical reviews, and architecture governance.
    • Partner with engineering, data, security, and business teams to deliver enterprise AI initiatives.
    • Evaluate emerging AI technologies and recommend architecture best practices.
    • Ensure AI solutions meet security, governance, compliance, and performance requirements.
    • Mentor engineering teams and drive AI adoption across the organization.

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