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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the operating system for the year 2026. As the world accelerates towards the next generation of Artificial General Intelligence, Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our core infrastructure initiatives.

In this role, you will not just be maintaining models; you will be architecting the framework for the next decade of human-machine interaction. We are looking for a thought leader who is comfortable operating at the intersection of deep learning, quantum computing, and scalable software engineering.

Why join us? We offer competitive compensation, equity packages, and the opportunity to define the AI landscape of the future.

Responsibilities

  • Architect scalable, fault-tolerant AI infrastructure designed for 2026-scale data requirements and high-frequency trading environments.
  • Lead the research and implementation of cutting-edge Large Language Model (LLM) fine-tuning and reinforcement learning strategies.
  • Oversee the integration of quantum-ready algorithms into existing neural networks to prepare for post-silicon computing.
  • Define and enforce architectural standards for data privacy, security, and ethical AI deployment.
  • Mentor a high-performance engineering team focused on pushing the boundaries of generative AI.
  • Collaborate with product leaders to translate 2026 roadmap goals into technical milestones.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Computational Mathematics, or a related field.
  • 10+ years of experience in software engineering with a deep specialization in AI/ML.
  • Proven track record of deploying production-grade machine learning models handling billions of requests.
  • Expert knowledge of Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Strong understanding of Generative Adversarial Networks (GANs) and Transformer architectures.
  • Demonstrated ability to lead cross-functional teams in a fast-paced, high-growth environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Kubernetes Generative AI Quantum Computing Leadership

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