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Lead Futurist & AI Architect (2026 Horizon)

Aether Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our 2026 Horizon initiative. In an era defined by rapid technological evolution, your role will be to design the foundational systems that will define the next decade of human-machine interaction. You will not just be building software; you will be architecting the future of intelligence.

As a key member of our elite R&D division, you will work at the intersection of generative AI, quantum computing, and ethical frameworks. We are looking for a technologist who is comfortable with ambiguity and possesses the foresight to anticipate the needs of the year 2026 and beyond.

Responsibilities

  • Architect Future-Ready Systems: Design scalable, secure, and high-performance AI architectures capable of processing complex datasets for the 2026 landscape.
  • Define Ethical AI Standards: Establish and enforce ethical guidelines for autonomous systems to ensure responsible development and deployment.
  • Lead R&D Strategy: Collaborate with cross-functional teams to identify emerging technologies and integrate them into our core product lines.
  • Quantum Readiness: Oversee the transition of current algorithms to quantum-ready frameworks.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and executive leadership.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in AI engineering, machine learning, or software architecture with a focus on large-scale systems.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
  • Quantum Knowledge: Familiarity with quantum computing paradigms and quantum machine learning libraries.
  • Leadership: Proven track record of leading engineering teams and delivering products on aggressive timelines.
  • Creativity: Exceptional problem-solving skills with a focus on innovation and out-of-the-box thinking.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow PyTorch Quantum Computing Cloud Architecture Leadership System Design

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