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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Systems Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Horizon Labs is seeking a visionary Future-Ready AI Systems Architect to lead the development of next-generation artificial intelligence infrastructure. As we gear up for the transformative year of 2026, we need a technical leader who understands not just current AI, but the quantum leaps that lie ahead.

In this role, you will bridge the gap between theoretical research and scalable production systems. You will define the architectural standards for our neural networks and ensure our platforms are robust, ethical, and prepared for the demands of a hyper-connected world.

Why Join Us?

  • Shape the Future: Directly influence the roadmap for AI evolution.
  • Cutting-Edge Tech: Work with quantum-ready algorithms and advanced LLMs.
  • Competitive Compensation: Industry-leading salary and equity package.

Responsibilities

  • Design & Deploy: Architect scalable, fault-tolerant AI systems capable of processing exabytes of data in real-time.
  • Quantum Integration: Collaborate with quantum computing research teams to develop hybrid classical-quantum AI models.
  • Ethical AI Governance: Implement frameworks to ensure AI transparency, fairness, and accountability in all deployed models.
  • Performance Optimization: Continuously refine model inference speeds and reduce latency across distributed networks.
  • Talent Leadership: Mentor a team of senior data scientists and software engineers, fostering a culture of innovation.
  • Strategic Planning: Translate business objectives into technical roadmaps for the 2026 product cycle.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related field (PhD preferred).
  • Experience: 5+ years of experience designing large-scale distributed systems and deep learning architectures.
  • Technical Stack: Proficiency in Python, TensorFlow/PyTorch, and Rust or Go.
  • Quantum Literacy: Familiarity with quantum computing concepts and hybrid algorithms is a strong plus.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.
  • Communication: Exceptional verbal and written skills for technical and executive-level presentations.

Required Skills

AI Architecture Machine Learning Python TensorFlow Quantum Computing System Design Rust Go Cloud Infrastructure Deep Learning

Ready to Take This Challenge?

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