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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Horizon)

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

Job Description

Are you ready to architect the future of intelligent systems? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead the development of groundbreaking technologies set to redefine the industry by 2026. In this high-impact role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering.


As we approach the 2026 horizon, we are building the infrastructure for the next generation of autonomous systems. You will lead a world-class team of engineers, define architectural standards, and ensure our AI solutions are robust, secure, and ahead of the curve.


Why Join Us?
β€’ Work on cutting-edge AI projects that will shape the future.
β€’ Competitive compensation package and equity opportunities.
β€’ Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Architect and design scalable, high-performance AI/ML systems capable of handling petabyte-scale data.
  • Lead the full software development lifecycle for complex AI models, from research prototyping to deployment.
  • Define technical vision and roadmaps for the 2026 product suite, ensuring alignment with business objectives.
  • Mentor and cultivate a high-performing engineering team focused on innovation and code quality.
  • Collaborate with cross-functional stakeholders including product managers, data scientists, and security experts.
  • Ensure system reliability, security, and compliance with industry standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven experience designing microservices and cloud-native architectures (AWS, GCP, or Azure).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning paradigms.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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