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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the infrastructure for the year 2026 and beyond. Nexus Future Labs is a premier R&D firm specializing in autonomous systems and next-gen neural interfaces. We are looking for a Senior AI Architect (2026 Vision) to spearhead our flagship project: the development of self-evolving neural networks.

In this role, you will define the architectural standards for our AI ecosystem, ensuring our solutions are not only scalable but ethically sound and future-proof. You will work in a high-performance environment that demands innovation, precision, and technical excellence.

What You Will Do:

  • Architect and deploy advanced deep learning models for autonomous decision-making systems.
  • Oversee the migration of legacy systems to next-generation quantum-ready cloud infrastructures.
  • Lead a team of elite machine learning engineers in a fast-paced, agile environment.
  • Ensure the highest standards of data security, algorithmic bias mitigation, and compliance.
  • Collaborate with product strategists to translate 2026 roadmap goals into technical realities.

Benefits: Competitive equity, comprehensive health coverage, unlimited PTO, and a cutting-edge workspace in the heart of San Francisco.

Responsibilities

  • Lead the design of proprietary AI algorithms and system architectures.
  • Optimize model performance for speed, accuracy, and energy efficiency.
  • Mentor junior developers and conduct technical code reviews.
  • Stay abreast of the latest research in AI, robotics, and generative modeling.
  • Communicate complex technical concepts to non-technical stakeholders.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning.
  • Expert proficiency in Python, C++, and major ML frameworks (PyTorch, TensorFlow, JAX).
  • Deep experience with distributed computing systems and cloud platforms (AWS, Azure, GCP).
  • Proven experience in leading cross-functional engineering teams.

Required Skills

Python PyTorch TensorFlow System Architecture Cloud Computing AWS Machine Learning Deep Learning AI Strategy

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