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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision) - Leading Future Tech

Nexus Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Future is Now. Nexus Systems is pioneering the technology stack for the year 2026. We are looking for a visionary Senior AI Architect to design the next generation of Artificial General Intelligence (AGI) and autonomous systems. If you want to leave a permanent mark on the technological landscape, this is your opportunity.


In this role, you won't just maintain legacy systems; you will build the foundational architectures that will power the world of 2026 and beyond. We value radical innovation, technical excellence, and the courage to tackle unsolved problems.


Key Highlights:

  • Work on cutting-edge Quantum-Enhanced Neural Networks.
  • Shape the ethical framework for autonomous decision-making.
  • Competitive equity package and 401k matching.
  • Flexible remote-first policy with quarterly team meetups in SF.

Responsibilities

  • Architect Next-Gen AI: Design and implement scalable, high-performance neural network architectures optimized for the computational requirements of 2026.
  • Quantum Integration: Oversee the research and integration of quantum computing algorithms into existing deep learning models.
  • System Optimization: Drive performance improvements across large-scale data pipelines, reducing latency and increasing throughput by 40%.
  • Ethical AI Governance: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and safety in autonomous agents.
  • Leadership & Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Prototyping: Rapidly prototype and validate concepts for future technologies, transitioning viable ideas into production-ready software.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior architect or lead role.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems. Experience with quantum computing libraries (Qiskit, Cirq) is a major plus.
  • Architecture Skills: Proven track record of designing systems that handle millions of transactions per second.
  • Problem Solving: Ability to solve complex, ambiguous problems with creative, scalable solutions.
  • Communication: Exceptional ability to translate technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow PyTorch Distributed Systems Quantum Computing AGI System Architecture Leadership

Ready to Take This Challenge?

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