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Information Technology 🏒 Full Time ⭐️ Verified

AI Systems Architect 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the next generation of intelligence? Nexus Future Systems is on a mission to define the technological landscape of 2026 and beyond. We are looking for a visionary AI Systems Architect 2026 to lead the integration of Autonomous Agents, Generative AI, and Quantum-Ready algorithms into our core infrastructure.

In this role, you won't just be maintaining existing systems; you will be building the backbone for the autonomous enterprise of tomorrow. If you thrive in a high-performance environment and possess an obsession with scalability and ethical AI, we want to hear from you.

Responsibilities

  • Architect Next-Gen Neural Networks: Design and implement scalable neural architectures capable of handling multi-modal data streams and real-time learning loops.
  • AGI Readiness Roadmap: Define the technical strategy for integrating Artificial General Intelligence (AGI) components into enterprise workflows by Q2 2026.
  • Synthetic Data Pipelines: Build robust frameworks for generating high-fidelity synthetic data to train models in regulated environments without compromising privacy.
  • Post-Quantum Security: Integrate quantum-resistant cryptographic protocols into our AI model deployment pipelines.
  • Ethical AI Governance: Establish and enforce rigorous guidelines for bias mitigation, transparency, and accountability in automated decision-making systems.

Qualifications

  • Advanced Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Deep Learning Expertise: 7+ years of experience designing and deploying state-of-the-art Deep Learning models (Transformers, GANs, Diffusion Models).
  • Programming Proficiency: Expert-level proficiency in Python, C++, and Rust; experience with PyTorch and TensorFlow.
  • System Design: Proven track record of architecting high-availability, low-latency distributed systems at scale.
  • Quantum Computing Insight: Understanding of quantum computing fundamentals and experience with quantum software stacks (Qiskit, Cirq) is a strong plus.

Required Skills

Python Machine Learning Deep Learning Neural Networks System Architecture C++ Rust PyTorch TensorFlow Quantum Computing AGI Autonomous Agents Big Data

Ready to Take This Challenge?

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