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2026 Strategic AI Architect - San Francisco, CA

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Future of Intelligence.

Nexus Horizon AI is at the forefront of the 2026 technological revolution. We are not just building software; we are architecting the neural foundations of tomorrow. As a 2026 Strategic AI Architect, you will lead the charge in developing next-generation generative models and quantum-assisted algorithms designed to solve the world's most complex challenges.

Join us in San Francisco to define the roadmap for Artificial General Intelligence (AGI) and secure our position as the market leader in autonomous systems. We offer a competitive package, equity, and the unique opportunity to work on projects that will redefine humanity's digital future.

Why Join Nexus Horizon?

  • Work on cutting-edge research that bridges the gap between theoretical physics and machine learning.
  • Access to state-of-the-art compute resources and a collaborative environment with industry pioneers.
  • Flexible remote-first policy with a premium office hub in the heart of San Francisco.

Responsibilities

  • Architect and deploy scalable AI systems capable of processing petabytes of real-time data with zero latency.
  • Lead cross-functional teams in integrating quantum computing principles into classical neural network architectures.
  • Define the technical vision for 2026 product roadmaps, ensuring alignment with long-term business objectives.
  • Conduct rigorous testing and validation of ethical AI frameworks to prevent bias in autonomous decision-making.
  • Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
  • Stay ahead of emerging tech trends, including holographic interfaces and brain-computer interfaces (BCI).

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related technical field from a top-tier institution.
  • Minimum of 7 years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Proven expertise in Python, TensorFlow, PyTorch, and CUDA.
  • Experience with quantum computing frameworks (Qiskit, Cirq) is highly preferred.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills with a track record of delivering complex projects on time.
  • Fluency in English and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning Quantum Computing Python TensorFlow System Architecture Cloud Computing Distributed Systems Leadership

Ready to Take This Challenge?

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