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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026)

Nebula Core Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Future-Ready AI Architect to lead our 2026 technology roadmap. At Nebula Core, we are not just building software; we are architecting the cognitive infrastructure of tomorrow. If you are passionate about pushing the boundaries of predictive modeling, neural networks, and autonomous systems, this is your opportunity to define the future.

In this role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platforms remain at the forefront of the 2026 technological landscape.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with hubs in San Francisco and Austin.

Ready to shape the future? Apply today.

Responsibilities

  • Design and implement the 2026 AI neural architecture to support predictive modeling at enterprise scale.
  • Oversee the development of next-generation algorithms focusing on efficiency, latency reduction, and scalability.
  • Collaborate with R&D teams to integrate autonomous agents into our core infrastructure.
  • Establish best practices for ethical AI, data governance, and algorithmic transparency.
  • Conduct rigorous performance tuning and optimization for high-frequency data streams.
  • Lead architectural reviews and mentor junior engineers in advanced machine learning techniques.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering with a focus on AI/ML systems.
  • Deep expertise in Python, C++, and distributed computing frameworks (PyTorch, TensorFlow, Ray).
  • Proven track record of delivering production-grade AI solutions in high-traffic environments.
  • Strong understanding of system architecture, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/K8s).
  • Exceptional problem-solving skills with a focus on long-term scalability and innovation.

Required Skills

Artificial Intelligence Machine Learning Neural Networks System Architecture Python Deep Learning Cloud Computing Kubernetes PyTorch TensorFlow Predictive Analytics Ethics in AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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