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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead Project 2026, our ambitious initiative to revolutionize generative AI and quantum computing integration. If you are passionate about pushing the boundaries of technology and building systems that scale, this is your opportunity to lead the future.

What You’ll Do:

Nexus Future Labs is a pioneer in next-generation technology. We offer a dynamic environment where innovation meets execution, providing top-tier compensation and a culture that values autonomy and technical excellence.

Responsibilities

  • Design and architect scalable machine learning pipelines capable of processing high-frequency, complex datasets.
  • Lead the technical strategy for Project 2026, ensuring alignment with long-term business goals and industry standards.
  • Optimize neural network architectures to improve inference speed and model accuracy in real-time environments.
  • Mentor a high-performing team of software engineers and data scientists, fostering a culture of continuous learning.
  • Collaborate with cross-functional stakeholders to translate abstract concepts into robust, deployable technical solutions.
  • Conduct rigorous code reviews and establish best practices for security, scalability, and maintainability.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and Rust.
  • Proven experience designing distributed systems and managing cloud infrastructure (AWS/GCP).
  • Strong understanding of MLOps, CI/CD pipelines, and containerization technologies (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, startup environment.

Required Skills

Python Machine Learning AI Architecture Deep Learning TensorFlow PyTorch Docker Kubernetes AWS Rust MLOps

Ready to Take This Challenge?

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