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Information Technology 🏢 Full Time ⭐️ Verified

AI Infrastructure Architect (2026 Roadmap)

Apex Horizon Systems
Austin
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on the brink of a technological revolution, and Apex Horizon Systems is building the infrastructure for the future. We are seeking a visionary AI Infrastructure Architect to lead our 2026 roadmap initiatives. You will be at the forefront of deploying scalable, high-performance systems that define the next generation of artificial intelligence.

In this role, you won't just maintain existing systems; you will architect the backbone for our upcoming portfolio, ensuring stability, security, and scalability for the technologies that will define the year 2026 and beyond.

Why Join Us?

  • Impactful Work: Build the foundational layers of AI that power enterprise solutions.
  • Future-Proof Your Career: Work on cutting-edge 2026 technology trends.
  • Modern Culture: A collaborative environment that values innovation and technical excellence.

Responsibilities

  • Design and implement scalable cloud infrastructure architectures specifically tailored for the 2026 AI landscape.
  • Lead the technical strategy for integrating emerging generative models and large-scale data pipelines.
  • Oversee the migration of legacy systems to modern, high-performance computing environments.
  • Collaborate with data scientists and ML engineers to optimize model deployment and inference speed.
  • Establish best practices for security, observability, and disaster recovery in a hybrid cloud environment.
  • Act as a technical advisor on the 2026 product roadmap, identifying risks and opportunities.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior architecture role.
  • Deep expertise in designing high-availability systems using AWS, Azure, or Google Cloud Platform.
  • Strong proficiency in Python, Kubernetes, Docker, and microservices architecture.
  • Experience with MLOps tools and frameworks (e.g., Kubeflow, MLflow).
  • Excellent problem-solving skills with a proven track record of delivering complex technical projects.
  • Ability to translate business requirements into robust technical solutions.

Required Skills

Kubernetes Docker Python AWS Azure MLOps Microservices Generative AI Cloud Architecture Machine Learning Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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