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Futurism & AI Integration Architect (2026 Vision) - San Francisco, CA

Horizon 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to shape the future of humanity?

Horizon 2026 Labs is pioneering the convergence of advanced Artificial Intelligence and Quantum Computing to solve the unsolvable. We are seeking a visionary Futurism & AI Integration Architect to lead our R&D division. In this role, you won't just write code; you will architect the infrastructure for the year 2026 and beyond.

We are looking for a technical leader who thrives in ambiguity and is obsessed with the intersection of biology, technology, and space exploration.

Responsibilities

  • Design and implement scalable, next-generation AI systems capable of autonomous decision-making.
  • Lead the architectural vision for integrating quantum processing units with classical machine learning models.
  • Collaborate with cross-functional teams to define product roadmaps that align with 2026 strategic goals.
  • Conduct rigorous research on emerging tech trends, including Neuromorphic Engineering and Synthetic Biology.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Oversee the deployment of high-stakes simulations to predict global market and environmental shifts.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Advanced degree (Master's or Ph.D.) in Computer Science, Physics, or a related field is highly preferred.
  • Deep expertise in Python, C++, and Rust, with a focus on performance optimization.
  • Proven track record of leading large-scale distributed systems projects.
  • Experience with quantum computing frameworks (Qiskit, Cirq) or a strong willingness to master them.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

AI Machine Learning Quantum Computing Architecture Python Rust Distributed Systems Neural Networks Leadership Research

Ready to Take This Challenge?

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