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Information Technology 🏒 Full Time ⭐️ Verified

Head of Future-Ready AI Infrastructure

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the precipice of a technological revolution. Nexus Horizon Systems is seeking a visionary Head of Future-Ready AI Infrastructure to architect the digital backbone of 2026 and beyond. In this pivotal role, you will not just manage existing systems; you will pioneer the integration of next-generation generative AI, edge computing, and quantum-ready frameworks into our core enterprise architecture. You will define the strategic roadmap that ensures our platforms are scalable, secure, and prepared for the decentralized future. Join us in building the infrastructure that will power the next era of human-machine collaboration.

Responsibilities

  • Define and execute the 2026 AI and Infrastructure roadmap, focusing on Large Language Models (LLMs), autonomous agents, and quantum-ready protocols.
  • Lead the architectural design for high-scale, fault-tolerant distributed systems capable of processing exabytes of data.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate advanced AI capabilities into our software ecosystem.
  • Establish and enforce robust security protocols and ethical AI guidelines to govern the development and deployment of autonomous systems.
  • Drive the migration from traditional cloud architectures to hybrid, serverless, and edge-computing environments.
  • Manage vendor relationships and technology partnerships to secure cutting-edge tools for the future.
  • Mentor senior engineering leadership and foster a culture of innovation and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field; equivalent industry experience is highly valued.
  • 10+ years of experience in software engineering, with at least 5 years in a senior leadership or architectural role within AI/ML infrastructure.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native technologies (AWS, GCP, Azure).
  • Proven track record of deploying and scaling large-scale AI models in production environments.
  • Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
  • Familiarity with quantum computing interfaces and edge AI deployment strategies.
  • Exceptional leadership skills with a demonstrated ability to inspire teams and drive strategic initiatives.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Python Kubernetes Quantum Computing Edge Computing Generative AI

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