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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nebula Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are on the cusp of a technological singularity. Nebula Core Systems is seeking a visionary Senior AI Architect (2026 Vision) to lead the development of next-generation autonomous systems. If you are passionate about shaping the digital infrastructure of tomorrow, we want to hear from you.

In this role, you will bridge the gap between theoretical AI research and scalable, real-world application. You will be responsible for architecting systems that integrate generative AI with neuromorphic computing to solve complex global challenges.

Why join Nebula Core?

  • Work on groundbreaking projects that define the technology of 2026 and beyond.
  • Competitive compensation and equity packages for top-tier talent.
  • Access to cutting-edge hardware and cloud infrastructure.

Location: San Francisco, CA (Hybrid)

Responsibilities

  • Architect and implement high-performance neural network models for autonomous agents and predictive analytics.
  • Lead the research and integration of emerging 2026-era technologies, including synthetic data generation and quantum-inspired algorithms.
  • Collaborate with cross-functional teams to deploy scalable machine learning solutions in production environments.
  • Define technical standards and best practices for AI model training, validation, and ethical deployment.
  • Optimize existing algorithms for reduced latency and improved energy efficiency on edge devices.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5+ years of professional experience in AI/ML engineering, with a focus on large language models (LLMs) or reinforcement learning.
  • Proficiency in Python, PyTorch, TensorFlow, and modern data orchestration tools (e.g., Apache Airflow, Kubeflow).
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with ethical AI frameworks and bias mitigation strategies.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, high-impact environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Neural Networks Distributed Systems Cloud Computing Kubernetes AWS AI Ethics

Ready to Take This Challenge?

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

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