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Head of AI & Future Tech Architecture

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Architect the Future of Intelligence

Apex Horizon Labs is pioneering the next generation of Artificial General Intelligence (AGI) and is looking for a visionary Head of AI & Future Tech Architecture to define our roadmap for the year 2026 and beyond.

We are not just building software; we are engineering the cognitive infrastructure of tomorrow. In this high-impact role, you will bridge the gap between theoretical research and scalable production systems, ensuring our platforms remain at the cutting edge of the industry.

If you are a technical leader who thrives in ambiguity and is passionate about the trajectory of AI development through 2026, we want to meet you.

Responsibilities

  • Strategic Leadership: Define and execute the long-term technical vision for AI infrastructure, specifically targeting breakthroughs in 2026.
  • System Architecture: Design resilient, scalable, and secure neural network architectures capable of handling exascale data processing.
  • Research Integration: Translate cutting-edge research papers and breakthroughs in Large Language Models (LLMs) into production-ready applications.
  • Team Mentorship: Build and lead a world-class team of data scientists, ML engineers, and researchers.
  • Cross-Functional Collaboration: Partner with product, engineering, and business units to align AI capabilities with strategic business goals.
  • Future-Proofing: Anticipate emerging technology trends (e.g., Neuromorphic Computing, Quantum AI integration) and advise stakeholders on their implementation.

Qualifications

  • Experience: 10+ years of experience in software engineering and at least 5 years in a senior leadership role within AI or Machine Learning.
  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Architecture: Proven track record of designing large-scale machine learning systems and MLOps pipelines.
  • Vision: Demonstrated ability to think strategically about the future of AI and identify high-leverage opportunities.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps System Architecture AI Strategy Leadership Natural Language Processing (NLP)

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