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Chief Futurist & Lead AI Architect (2026 Roadmap)

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the next generation of intelligent systems. OmniFuture Technologies is seeking a visionary Chief Futurist & Lead AI Architect to lead our strategic roadmap for 2026 and beyond.

In this pivotal role, you will define the architectural vision for our autonomous agents, generative AI ecosystems, and quantum-enhanced machine learning platforms. You won't just be building software; you will be architecting the future of human-machine collaboration.

If you possess a deep understanding of emerging technologies and a passion for shaping the landscape of 2026, we want to hear from you.

Responsibilities

  • Define the comprehensive 2026 AI Technology Roadmap, aligning technical vision with business objectives.
  • Architect scalable, secure, and high-performance AI infrastructures capable of handling exascale data processing.
  • Lead a world-class team of machine learning engineers and data scientists in the research and development of next-gen neural networks.
  • Oversee the integration of Quantum Computing algorithms with classical machine learning models.
  • Establish ethical guidelines and governance frameworks for AI deployment to ensure responsible innovation.
  • Collaborate with cross-functional product teams to translate complex technical concepts into market-ready solutions.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8+ years of experience in AI architecture, with at least 3 years in a senior leadership or architect role.
  • Deep expertise in Deep Learning, Natural Language Processing (NLP), and Computer Vision.
  • Proven experience designing systems that integrate Quantum Computing concepts.
  • Strong proficiency in Python, PyTorch, TensorFlow, and distributed systems.
  • Exceptional leadership skills with a track record of mentoring high-performing engineering teams.
  • Excellent communication skills, with the ability to articulate complex technical strategies to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing System Architecture Leadership Data Science

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