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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

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

Job Description

At Nexus Future Labs, we are not just building software; we are architecting the reality of 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead our next-generation Artificial General Intelligence (AGI) initiatives.

In this pivotal role, you will define the architectural blueprints for our neural systems, ensuring scalability, ethical integrity, and breakthrough performance. You will work at the intersection of theoretical research and practical engineering, pushing the boundaries of what machines can learn and reason.

Join us to shape the future of technology and leave a legacy that defines the industry for decades to come.

Responsibilities

  • Design and implement scalable, state-of-the-art neural network architectures tailored for AGI applications.
  • Lead high-level architectural decisions for large-scale machine learning systems, ensuring robustness and performance.
  • Drive the research and development of novel algorithms that solve complex, unstructured problems.
  • Mentor a team of elite engineers and researchers, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Establish best practices for data governance, model interpretability, and AI safety.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership or architect role.
  • Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
  • Proven track record of delivering innovative AI solutions that have had a significant business impact.
  • Strong understanding of Transformer models, Natural Language Processing (NLP), and multi-modal learning.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Architecture NLP Distributed Systems Leadership

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