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Artificial Intelligence & Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Intelligence

At Apex Horizon Labs, we are not just building software; we are architecting the cognitive infrastructure of 2026. We are seeking a visionary Lead AI Architect to spearhead our next-generation research division. In this role, you will define the roadmap for our Agentic AI systems and Neural Architecture Search (NAS) protocols, ensuring our technology leads the market by three years.

You will work at the intersection of deep learning, quantum computing integration, and ethical AI frameworks. If you are passionate about solving unsolvable problems and want to leave a legacy in the tech landscape of the future, this is your platform.

Why Join Us?

  • Future-Proof Stack: Work with the latest frameworks and experimental tech before they hit the mainstream.
  • Impact: Your work will directly influence the AI standards of the next decade.
  • Equity Package: Competitive stock options tied to our 2026 growth targets.

Responsibilities

  • Design and implement scalable AI architectures for Agentic workflows and autonomous agents.
  • Lead research initiatives into Neural Architecture Search (NAS) and generative adversarial networks.
  • Collaborate with quantum computing researchers to optimize algorithms for hybrid processing environments.
  • Establish ethical guidelines and safety protocols for autonomous decision-making systems.
  • Mentor a high-performance team of ML engineers and data scientists.
  • Translate complex technical concepts into compelling roadmaps for stakeholders and investors.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in machine learning, deep learning, or artificial intelligence engineering.
  • Proven track record of leading AI research projects from conception to production deployment.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Experience with Large Language Models (LLMs) and fine-tuning methodologies.
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Neural Networks LLMs AI Ethics Cloud Computing Distributed Systems Quantum Computing

Ready to Take This Challenge?

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