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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Future Tech 2026

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to pioneer the technological landscape of 2026. At Nebula Systems, we don't just predict the future; we engineer it.

In this pivotal role, you will design the next generation of artificial intelligence systems that are scalable, ethical, and transformative. You will work at the intersection of deep learning, quantum computing, and cloud infrastructure to build solutions that solve humanity's most complex challenges.

Responsibilities

  • Architect and deploy scalable machine learning models capable of processing real-time exabyte-scale data streams.
  • Define the technical roadmap for AI integration, ensuring alignment with the company's 2026 vision.
  • Lead a team of data scientists and engineers in developing proprietary algorithms.
  • Implement robust security protocols and ethical guidelines for autonomous AI agents.
  • Optimize cloud infrastructure for high-performance computing (HPC) environments.
  • Collaborate with product management to translate business requirements into technical blueprints.
  • Conduct rigorous code reviews and architectural assessments to ensure system integrity.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong background in cloud platforms (AWS, GCP) and containerization technologies (Kubernetes, Docker).
  • Demonstrated experience in leading cross-functional teams and managing technical projects.
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance.
  • Ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Machine Learning System Design Cloud Computing AI Ethics TensorFlow PyTorch Kubernetes AWS Data Engineering

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