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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are pioneering the next generation of cognitive systems. Nexus Horizons is seeking a visionary Lead AI Architect to spearhead the architectural framework for our 2026 roadmap. If you possess a deep understanding of artificial intelligence, quantum computing integration, and scalable system design, this is your opportunity to shape the future of technology.

In this role, you will lead a world-class team of engineers and researchers, defining the protocols and standards that will drive human-machine interaction for the next decade. You will bridge the gap between theoretical AI research and practical, high-performance production environments.

Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on projects that redefine the boundaries of possibility.

Responsibilities

  • Design and implement scalable neural network architectures capable of processing next-gen data streams.
  • Lead the strategic roadmap for integrating Quantum AI into our core product ecosystem.
  • Collaborate with cross-functional teams to define technical standards and best practices for 2026 and beyond.
  • Mentor and develop senior engineers and data scientists, fostering a culture of innovation.
  • Evaluate emerging technologies (e.g., neuromorphic computing) and assess their viability for implementation.
  • Oversee the deployment of Large Language Models (LLMs) in mission-critical applications.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture leadership.
  • Advanced degree (PhD preferred) in Computer Science, Mathematics, or a related field.
  • Proven track record of deploying AI systems at scale with high availability and low latency.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Strong understanding of quantum computing principles and their application to classical algorithms.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

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

Ready to Take This Challenge?

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