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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect 2026 | San Francisco, CA

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



Job Description

We are pioneering the technological frontiers for the year 2026. Nexus Future Labs is seeking a visionary Lead AI Architect to design the neural infrastructures of tomorrow. In this role, you will bridge the gap between theoretical AI breakthroughs and practical, scalable applications, working on systems that will define the next decade of human-computer interaction.

Why Join Us?

  • Work on cutting-edge projects that define the future of Autonomous Agents and Quantum-AI integration.
  • Competitive compensation package including equity and performance bonuses.
  • Flexible remote-first culture with a premium office in the heart of San Francisco.

The Role:

You will be responsible for the architectural integrity of our next-generation AI ecosystem. You will lead a team of elite engineers in building systems that are not only intelligent but also ethical, secure, and resilient.

Responsibilities

  • Architect and deploy scalable neural networks optimized for next-gen autonomous agents and edge computing.
  • Lead the integration of Quantum-Ready algorithms into our existing cloud infrastructures.
  • Define the technical roadmap for AGI (Artificial General Intelligence) safety and ethical frameworks.
  • Collaborate with product leaders to translate complex business objectives into high-level technical blueprints.
  • Mentor senior engineers and foster a culture of innovation, continuous learning, and technical excellence.
  • Conduct rigorous code reviews and ensure system scalability across global distributed networks.

Qualifications

  • 10+ years of experience in Software Engineering, with at least 5 years in a Lead Architect role within AI/ML.
  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • Deep expertise in Deep Learning, NLP, Reinforcement Learning, and Generative Models.
  • Strong proficiency in Python, C++, and Rust, with experience in 2026-era stacks (e.g., WebGPU, WASM, Edge AI).
  • Proven experience in designing fault-tolerant systems capable of handling massive concurrent data streams.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow System Architecture Quantum Computing Cloud Computing Leadership NLP Deep Learning

Ready to Take This Challenge?

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

Apply Now

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