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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are at the precipice of a technological revolution. Our team is building the core infrastructure for the 2026 Horizon initiative—a massive overhaul of global data processing capabilities designed to redefine human-machine interaction.

As a 2026 AI Systems Architect, you won't just write code; you will define the rules of engagement for artificial intelligence in the next decade. You will lead the architectural vision for our next-generation neural networks, bridging the gap between classical computing and emerging quantum paradigms.

If you are a visionary engineer ready to leave a permanent mark on the future of technology, we want to meet you.

Responsibilities

  • Design scalable, fault-tolerant neural networks specifically architected for the 2026 deployment timeline.
  • Bridge classical computing architectures with emerging quantum algorithms to create hybrid systems.
  • Lead the architectural migration of legacy enterprise systems to next-gen, autonomous frameworks.
  • Conduct in-depth research on predictive AI models, reinforcement learning, and generative AI agents.
  • Collaborate with product leaders to define the technical roadmap for the 2026 product suite.
  • Ensure system security, scalability, and ethical AI compliance across all new deployments.
  • Mentor a high-performing engineering team focused on innovation and speed.

Qualifications

  • 10+ years of experience in AI/ML engineering, with at least 3 years in a leadership or architectural role.
  • Deep understanding of Large Language Models (LLMs), Transformers, and Generative AI architectures.
  • Experience with quantum computing frameworks (e.g., Qiskit, Cirq) and hybrid classical-quantum workflows.
  • Strong proficiency in Python, TensorFlow, PyTorch, and high-performance computing clusters.
  • Proven track record of delivering complex, mission-critical software systems.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Exceptional problem-solving skills and a passion for the future of technology.

Required Skills

Python TensorFlow PyTorch Quantum Computing AI Architecture Cloud Computing System Design Leadership Machine Learning

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