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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of technology? Nebula Horizon Labs is seeking a visionary Senior AI Architect to lead Project 2026, our groundbreaking initiative to redefine the boundaries of autonomous intelligence.


We are building the infrastructure for the year 2026 and beyond. In this high-impact role, you will architect scalable machine learning systems that will serve as the backbone for our next-generation products. You will work at the intersection of theoretical AI and practical engineering, solving complex problems that have never been solved before.


Why join us?

  • Work on cutting-edge technology with a world-class team.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a premium office in San Francisco.

Responsibilities

  • Architecting the Future: Design and implement high-performance neural network architectures capable of scaling to petabyte-level datasets.
  • System Optimization: Lead the optimization of model inference and training pipelines to ensure maximum efficiency and low latency.
  • Technical Leadership: Mentor a team of elite engineers and define technical best practices for the Project 2026 initiative.
  • Strategic Integration: Collaborate with cross-functional product teams to integrate advanced AI solutions into broader enterprise ecosystems.
  • R&D Innovation: Stay at the forefront of AI research, identifying and implementing novel algorithms to drive competitive advantage.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning and Deep Learning.
  • Technical Skills: Deep expertise in Python, PyTorch, and TensorFlow. Strong background in distributed systems and cloud architecture (AWS/GCP/Azure).
  • MLOps: Proven experience with MLOps tools, CI/CD pipelines, and model deployment strategies.
  • Problem Solving: Exceptional ability to break down complex problems and deliver robust, scalable solutions.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Cloud Architecture MLOps Kubernetes AWS System Design AI/ML Engineering

Ready to Take This Challenge?

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

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