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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Future Intelligence 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to define the future of intelligence?

Nexus Future Labs is pioneering the next generation of Artificial Intelligence. We are looking for a visionary Senior AI Architect to lead our research into Artificial General Intelligence (AGI) and scalable neural networks. If you are passionate about solving complex problems and shaping the technological landscape of 2026, we want to hear from you.

In this role, you will not just build models; you will architect the very fabric of future human-computer interaction. You will work with world-class engineers and researchers to push the boundaries of what is possible.

Responsibilities

  • Architect Next-Gen Neural Networks: Design and implement scalable, high-performance AI models focused on deep learning and generative adversarial networks.
  • Lead R&D Initiatives: Spearhead research projects aimed at achieving Artificial General Intelligence by 2026, including natural language processing and computer vision advancements.
  • Optimize Computational Efficiency: Drive improvements in model inference speed and reduce energy consumption for large-scale deployments.
  • Ensure Ethical AI Standards: Implement robust governance frameworks to ensure AI systems are fair, transparent, and free from bias.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex research into market-ready products.
  • Mentorship: Guide junior architects and researchers, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (e.g., Kubernetes, AWS).
  • Model Development: Proven track record of developing and deploying state-of-the-art Large Language Models (LLMs) or multimodal AI systems.
  • Leadership: Strong ability to lead high-performing teams and manage complex technical roadmaps.
  • Problem Solving: Exceptional analytical skills with a focus on architectural scalability and robustness.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch Neural Networks Cloud Architecture Leadership

Ready to Take This Challenge?

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