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Senior AI Architect - 2026 Tech Stack

Horizon 2026 Labs
San Francisco, CA
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to pioneer the next generation of intelligent systems for the 2026 Tech Stack. As we move into the era of autonomous neural networks and quantum-enhanced processing, you will lead the architectural design of scalable, high-performance AI solutions. This is a unique opportunity to shape the future of technology at Horizon 2026 Labs.

Why Join Us?

  • Work on cutting-edge projects that define the 2026 era of computing.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first policy with quarterly in-person innovation summits.
  • Access to the latest hardware accelerators and AI research libraries.

Responsibilities

  • Design and implement robust, scalable AI architectures for the 2026 platform stack, focusing on efficiency and throughput.
  • Lead a team of ML engineers in developing and deploying state-of-the-art deep learning models.
  • Optimize neural network inference and training pipelines for low-latency environments.
  • Collaborate with quantum computing researchers to integrate hybrid classical-quantum algorithms.
  • Establish best practices for data governance, model security, and ethical AI deployment.
  • Mentor junior developers and conduct code reviews to ensure architectural integrity.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern inference engines.
  • Experience with distributed systems and cloud-native architecture (AWS, GCP, or Azure).
  • Strong understanding of quantum computing concepts or experience with hybrid computing frameworks.
  • Proven track record of leading cross-functional teams in high-stakes environments.

Required Skills

Python TensorFlow PyTorch Distributed Systems Cloud Architecture Quantum Computing Machine Learning Deep Learning Kubernetes Docker

Ready to Take This Challenge?

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