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Lead AI Architect: 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a new era. Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our 2026 Horizon initiative. You will be responsible for architecting the next generation of generative AI systems designed to redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Why Join Us?

  • Work on cutting-edge technology that will shape the future of the industry.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a vibrant office in the heart of San Francisco.
  • Access to top-tier computing resources and a team of world-class engineers.

Join us in building the infrastructure for the future.

Responsibilities

  • Define and execute the architectural roadmap for the 2026 Horizon AI platform, ensuring scalability and performance.
  • Lead the design and implementation of large-scale machine learning models using Python and PyTorch.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Conduct code reviews and ensure best practices in software engineering and AI deployment.
  • Stay ahead of industry trends to integrate emerging technologies into our core architecture.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in designing and deploying large language models (LLMs) and neural networks.
  • Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and Kubernetes.
  • Proven track record of leading high-performance engineering teams and managing complex projects.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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