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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the technology of tomorrow?

Nexus Horizon is pioneering the next generation of artificial intelligence, and we are looking for a visionary Senior AI Architect to join our elite team in San Francisco. In this pivotal role, you will define the technical roadmap for our 2026 product suite, integrating cutting-edge neural networks with real-time quantum processing.

As a leader in the '2026' tech niche, we prioritize forward-thinking solutions that redefine human-computer interaction. You will work at the intersection of Deep Learning, Edge Computing, and Generative AI, building scalable systems that are not just advanced today, but revolutionary for the future.

Why join us?

  • Work on high-impact projects that shape the future of the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a premium office in SF.

Responsibilities

  • Architect Neural Roadmaps: Lead the design and implementation of next-generation deep learning models, specifically tailored for the 2026 ecosystem.
  • Quantum Integration: Collaborate with quantum computing researchers to optimize algorithms for hybrid classical-quantum architectures.
  • System Optimization: Ensure real-time inference and low-latency processing across distributed edge networks.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Define technical milestones and architectural patterns for the company's long-term vision.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience in AI engineering, with a portfolio demonstrating complex system architecture.
  • Technical Skills: Proficiency in PyTorch, TensorFlow, and experience with quantum computing libraries (Qiskit, Cirq).
  • Programming: Strong command of Python, C++, and distributed systems (Kubernetes, Docker).
  • Communication: Exceptional ability to translate complex technical concepts for both technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Quantum Computing Neural Networks Kubernetes Docker System Architecture

Ready to Take This Challenge?

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