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Senior AI Architect (Project 2026)

Nebula Future Systems
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of synthetic intelligence? Nebula Future Systems is seeking a visionary Senior AI Architect to spearhead Project 2026, a cutting-edge initiative designed to pioneer autonomous, self-evolving neural networks. We are not just building software; we are defining the infrastructure of tomorrow.

In this role, you will lead a cross-functional team of elite engineers and data scientists to deploy scalable, fault-tolerant AI systems that push the boundaries of machine learning. If you thrive in high-stakes environments and possess an innate ability to bridge theoretical research with practical engineering, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and implement the core infrastructure for next-generation LLMs and generative AI systems, ensuring high availability and scalability.
  • Research & Development: Translate cutting-edge academic research into production-ready code, focusing on reinforcement learning and edge computing.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
  • Performance Optimization: Lead initiatives to reduce inference latency and optimize model throughput for real-time applications.
  • Cross-Functional Collaboration: Work closely with product managers and security experts to integrate AI solutions into the wider ecosystem.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and large-scale system design.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Leadership: Proven track record of leading engineering teams through the full software development lifecycle.
  • Innovation: Demonstrated ability to work in fast-paced, agile environments and adapt to rapidly evolving technologies.

Required Skills

Python PyTorch TensorFlow Kubernetes AWS Machine Learning System Architecture Distributed Systems Leadership

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