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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Vision)

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

About Apex Future Tech: We are pioneering the infrastructure for the year 2026. As the world shifts towards autonomous agents and quantum-enhanced cloud computing, we need a visionary leader to architect the backbone of our next-generation intelligence systems.

The Role: We are seeking a Senior AI Infrastructure Architect to design scalable, secure, and resilient systems capable of supporting the next wave of generative AI and autonomous decision-making. In this role, you won't just maintain legacy systems; you will build the architecture that defines the future of enterprise technology.

Why Join Us?

  • Work on cutting-edge Agentic AI workflows.
  • Shape the standard for Post-Quantum Cryptography integration.
  • Competitive compensation and equity packages.

Key Objectives:

  • Design distributed neural networks that operate seamlessly across global edge nodes.
  • Oversee the migration to sustainable, high-density computing infrastructures.
  • Ensure data sovereignty and security compliance in a decentralized web 3.0 environment.

Responsibilities

  • Lead the architectural design of scalable, high-throughput AI inference engines.
  • Collaborate with quantum computing researchers to integrate hybrid classical-quantum algorithms into production pipelines.
  • Optimize system latency and resource utilization for real-time autonomous decision-making.
  • Establish security protocols for 2026-era data privacy standards.
  • Mentor a team of junior engineers and data scientists in best practices for distributed systems.
  • Conduct technical due diligence on emerging hardware and software technologies.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Computational Physics, or a related field.
  • 10+ years of experience in system architecture, with at least 5 years in AI/ML infrastructure.
  • Deep expertise in Python, Go, and containerization technologies (Docker, Kubernetes).
  • Proven experience with large language models (LLMs) and transformer architectures.
  • Familiarity with quantum computing frameworks (Qiskit, Cirq, or similar).
  • Strong understanding of distributed systems, microservices, and cloud-native technologies (AWS, Azure, GCP).

Required Skills

AI Machine Learning System Architecture Python Kubernetes Quantum Computing Distributed Systems San Francisco CA

Ready to Take This Challenge?

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