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Lead AI Architect: 2026 Stack

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to architect the foundation of tomorrow? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead the development of our proprietary 2026 Stack. In this role, you will define the next generation of artificial intelligence infrastructure, ensuring our platforms remain at the cutting edge of innovation.

We are not just building software; we are defining the trajectory of technology for the decade ahead. You will work alongside world-class researchers and engineers to deploy scalable, ethical, and high-performance AI solutions.

Why Join Us?

  • Work on the bleeding edge of AI development.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium office amenities in SOMA.

Responsibilities

  • Design and implement the core architecture for the 2026 AI Stack, focusing on scalability, latency reduction, and energy efficiency.
  • Lead a cross-functional team of data scientists, ML engineers, and backend developers to translate research into production-ready systems.
  • Establish best practices for model deployment, MLOps pipelines, and continuous integration/continuous deployment (CI/CD) workflows.
  • Ensure ethical AI governance and data privacy compliance across all neural network architectures.
  • Conduct architectural reviews to optimize system performance and cost-efficiency.
  • Stay abreast of global technology trends to proactively integrate emerging paradigms into our roadmap.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural role.
  • Deep expertise in large language models (LLMs), transformer architectures, and generative AI.
  • Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Proven track record of leading high-impact technical projects from concept to delivery.
  • Strong understanding of MLOps, cloud infrastructure (AWS/Azure/GCP), and cybersecurity principles.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Cloud Architecture MLOps LLMs System Design Leadership

Ready to Take This Challenge?

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

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