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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Infrastructure Architect - Project 2026

OmniFuture Corp
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of the future? OmniFuture Corp is seeking a visionary Lead AI Infrastructure Architect to spearhead the development of our flagship Project 2026 initiative.

In this pivotal role, you will architect the neural backbone for our next-generation autonomous systems, ensuring scalability, security, and speed for deployment in 2026. You will bridge the gap between theoretical AI models and robust, real-world hardware implementations, working on the bleeding edge of quantum-ready software.

Why Join Us? We are building the infrastructure for tomorrow, today. You will work with state-of-the-art hardware and a team of elite engineers pushing the boundaries of what is possible in artificial intelligence.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling petabyte-scale data processing in real-time.
  • Lead the integration of quantum-ready algorithms into our primary neural networks to ensure future-proof scalability.
  • Oversee the end-to-end lifecycle of machine learning models from prototyping to production deployment using CI/CD pipelines.
  • Collaborate with cross-functional teams of quantum physicists and software engineers to solve complex system bottlenecks.
  • Establish best practices for code review, testing, and high-availability system architecture.
  • Mentor junior engineers and define technical roadmaps for the 2026 roadmap.
  • Ensure data privacy and security compliance across all distributed systems.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field (PhD preferred).
  • 10+ years of experience in software engineering with a focus on AI and high-performance computing.
  • Expert proficiency in Python, TensorFlow, PyTorch, and C++.
  • Experience with quantum computing libraries (Qiskit, Cirq) or deep understanding of post-quantum cryptography is a strong plus.
  • Deep understanding of distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
  • Strong problem-solving skills and the ability to thrive in a fast-paced, innovative environment.
  • Excellent communication skills for technical leadership and stakeholder management.

Required Skills

Python TensorFlow PyTorch C++ Cloud Architecture Distributed Systems Quantum Computing Machine Learning System Design

Ready to Take This Challenge?

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