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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (Project 2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are seeking a visionary Future-Ready AI Architect to lead our groundbreaking Project 2026. In this role, you will define the architectural framework for next-generation artificial intelligence systems designed to operate in a post-silicon world. If you are passionate about the future of technology and want to build the infrastructure for 2026 and beyond, we want to hear from you. As a key member of our elite engineering team, you will bridge the gap between theoretical AI research and production-grade systems. We are not just looking for a coder; we are looking for a builder of tomorrow. You will work with cutting-edge hardware and neural architectures that will define the standard for the next decade. Why Join Us? * Work on infrastructure that scales to the limits of human imagination. * Competitive equity and a top-tier benefits package. * Flexible remote-first culture with quarterly in-person innovation summits.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure for the 2026 roadmap.
  • Lead the research and integration of emerging technologies like Neuromorphic Computing.
  • Collaborate with cross-functional teams to translate business goals into technical blueprints.
  • Optimize deep learning models for edge computing environments.
  • Mentor junior engineers and establish best practices for futuristic software development.
  • Ensure system security and data privacy compliance across all AI pipelines.

Qualifications

  • Master’s degree in Computer Science, AI, or a related field (PhD preferred).
  • 7+ years of experience in software architecture and machine learning systems.
  • Deep expertise in Python, Rust, and distributed systems.
  • Proven track record of delivering complex AI projects on time.
  • Strong understanding of ethical AI and responsible technology deployment.
  • Experience with Kubernetes and cloud-native architectures (AWS/GCP).

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Rust Neuromorphic Computing Distributed Systems Kubernetes Cloud Computing

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