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Senior AI Architect (2026 Readiness)

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are on the brink of a technological singularity. Nebula Future Systems is seeking a visionary Senior AI Architect to lead the design and implementation of Artificial General Intelligence (AGI) frameworks expected to define the 2026 landscape. You will be at the forefront of integrating Quantum Computing capabilities with Deep Learning architectures.

If you are passionate about shaping the future, solving unsolvable problems, and building systems that think, we want to hear from you.

Responsibilities

  • Design and architect scalable, fault-tolerant AI infrastructure for next-generation Autonomous Agents.
  • Oversee the integration of Quantum-Enhanced Machine Learning models into production pipelines.
  • Define the roadmap for 2026 AI capabilities, including Large Language Model (LLM) evolution and Neural Interface systems.
  • Lead a team of top-tier Data Scientists and Machine Learning Engineers in research and development.
  • Establish best practices for Ethical AI, bias mitigation, and responsible automation.
  • Collaborate with cross-functional teams to translate futuristic concepts into viable product features.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in Machine Learning engineering, with at least 3 years in a leadership or architectural role.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Deep Learning, Reinforcement Learning, and Neural Architecture Search.
  • Experience with Quantum Computing frameworks (e.g., Qiskit, Cirq) is a strong plus.
  • Demonstrated track record of deploying high-impact AI systems in production environments.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-ambition environment.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing LLMs AGI Cloud Architecture Kubernetes Research

Ready to Take This Challenge?

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