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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect (2026)

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

Job Description

We are pioneering the technological frontier of 2026 and are seeking a visionary Senior AI & Future Tech Architect to join our elite team in San Francisco. In this role, you will not just build software; you will architect the systems that define the next era of human-machine interaction.

At Horizon 2026 Labs, we believe in pushing the boundaries of what is possible. You will work on cutting-edge projects involving Generative AI, Quantum-Ready Neural Networks, and Autonomous Systems. If you are passionate about the future and have the technical prowess to build it, we want to hear from you.

Why join us?

  • Work with a world-class team of engineers and researchers.
  • Competitive equity and benefits package.
  • Flexible remote and hybrid work options.
  • Opportunity to shape the roadmap for the next decade.

Responsibilities

  • Lead the architectural design and development of scalable AI infrastructure capable of handling petabyte-scale data.
  • Define and implement strategies for integrating Quantum computing concepts into classical AI workflows.
  • Oversee the research and deployment of Large Language Models (LLMs) with a focus on safety and alignment.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.
  • Mentor junior engineers and architects, fostering a culture of innovation and continuous learning.
  • Stay ahead of industry trends, specifically regarding AGI (Artificial General Intelligence) advancements.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of deploying production-grade machine learning models at scale.
  • Strong understanding of neural network architectures and optimization techniques.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture Quantum Computing Generative AI Cloud Infrastructure Distributed Systems Leadership

Ready to Take This Challenge?

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