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Future of AI Architect - 2026 Vision

Horizon Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Future of AI Architect to lead our research and development division in defining the technological landscape for 2026 and beyond. At Horizon Future Labs, we are building the infrastructure for the next generation of Artificial General Intelligence (AGI) and human-machine symbiosis. You will be responsible for architecting the strategic roadmap that bridges current machine learning capabilities with the theoretical frontiers of quantum computing and neural interfaces.

In this high-impact role, you will collaborate with elite researchers, quantum physicists, and product strategists to transform complex theoretical concepts into deployable systems. If you possess a deep understanding of the trajectory of AI and a passion for shaping the future of humanity, we want to hear from you.

Responsibilities

  • Define the 2026 Roadmap: Architect the long-term technical vision and strategic milestones for AGI and Quantum AI integration.
  • Lead R&D Initiatives: Oversee the development of next-generation neural networks and distributed computing architectures.
  • Quantum Integration: Bridge the gap between classical AI models and emerging quantum computing paradigms.
  • Team Leadership: Mentor a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Stakeholder Communication: Translate complex technical strategies into compelling narratives for investors, partners, and executive leadership.
  • Security & Ethics: Establish frameworks for ethical AI deployment and robust security protocols for advanced systems.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • Experience: 10+ years of experience in AI/ML architecture, with at least 5 years in a senior leadership or architectural role.
  • Technical Expertise: Deep knowledge of Large Language Models (LLMs), Deep Reinforcement Learning, and Quantum Machine Learning (QML).
  • Strategic Vision: Proven ability to forecast industry trends and translate them into actionable technical roadmaps.
  • Leadership: Demonstrated success in leading cross-functional teams and managing high-budget R&D projects.
  • Communication: Exceptional verbal and written communication skills with the ability to influence diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks AGI System Architecture Leadership Strategy Python TensorFlow Quantum Mechanics

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