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Senior AI Architect (2026) | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a technological revolution. Our mission is to architect the infrastructure of 2026, integrating Generative AI with Neural Interfaces and Quantum Computing. As a Senior AI Architect at Nexus Future Labs, you won't just write code; you will define the ethical frameworks and architectural blueprints for the next decade of human-machine interaction.

Our team is dedicated to pushing the boundaries of what is possible, ensuring that the technologies we build today will seamlessly integrate into the world of tomorrow. You will have the autonomy to experiment, the resources to innovate, and the impact to shape the future.

Why Join Us?

  • Work on cutting-edge projects that define the technology landscape of 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a state-of-the-art office in San Francisco.

Responsibilities

  • Architect and deploy scalable Generative AI models designed for real-time neural feedback loops.
  • Lead a cross-functional team of researchers and engineers in the development of next-gen computing solutions.
  • Design ethical AI governance frameworks and bias mitigation strategies to ensure responsible innovation.
  • Collaborate with Quantum Computing teams to optimize algorithmic efficiency.
  • Translate complex technical requirements into actionable engineering roadmaps.
  • Mentor junior developers and foster a culture of continuous learning and technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and C++.
  • Deep understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Computer Vision.
  • Experience with edge computing and deploying models on neural interface hardware.
  • Strong leadership skills with a proven track record of managing high-performance engineering teams.

Required Skills

Python TensorFlow PyTorch Machine Learning Neural Networks C++ Cloud Architecture Leadership

Ready to Take This Challenge?

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