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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Horizon)

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are pioneering the technological infrastructure for the 2026 era. Nexus Future Labs is seeking a visionary Senior AI Architect to lead the development of next-generation General Artificial Intelligence (AGI) and neural interfaces. If you are passionate about pushing the boundaries of machine learning, quantum computing integration, and synthetic cognition, this is your opportunity to define the future.

In this role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are not only advanced but also ethically sound and future-proof.

Responsibilities

  • Architect and implement scalable deep learning frameworks for AGI research and deployment.
  • Lead a team of data scientists and engineers in designing neural networks capable of autonomous learning and decision-making.
  • Integrate quantum computing protocols into classical machine learning pipelines to solve complex optimization problems.
  • Define the long-term roadmap for AI evolution, anticipating 2026 technological milestones.
  • Establish governance frameworks for ethical AI, ensuring transparency and bias mitigation in automated systems.
  • Mentor junior staff and conduct high-level technical reviews to maintain industry-leading standards.

Qualifications

  • Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in AI/ML architecture, with at least 3 years in a senior leadership role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Experience with quantum computing libraries (Qiskit, Cirq) and hybrid quantum-classical models.
  • Deep understanding of NLP, computer vision, and reinforcement learning paradigms.
  • Proven track record of deploying AI solutions at scale in enterprise environments.

Required Skills

Python TensorFlow PyTorch Quantum Computing NLP Reinforcement Learning AGI Distributed Systems Machine Learning Architecture

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