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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect for 2026 Vision

NexaCore Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

NexaCore Systems is at the forefront of the AI revolution, preparing the architecture for the autonomous systems of 2026 and beyond. We are seeking a visionary Lead AI Architect to design scalable, secure, and ethical AI frameworks that will power the next generation of enterprise solutions.

In this role, you will bridge the gap between theoretical research and production-grade engineering. You will define the technical roadmap for our flagship "Agentic AI" platform, ensuring our models are not only performant but aligned with future regulatory standards.

Join us to build the intelligence layer of the future.

Responsibilities

  • Architect and deploy end-to-end AI pipelines for Generative AI and Autonomous Agents.
  • Lead a team of ML engineers and data scientists in defining the technical strategy for 2026.
  • Optimize large-scale neural networks for latency, throughput, and cost-efficiency.
  • Collaborate with product and legal teams to ensure AI safety and compliance.
  • Research and prototype novel architectures (e.g., Mixture of Experts, Transformer variants) before production adoption.
  • Drive technical decision-making regarding cloud infrastructure and model serving.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in Machine Learning architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of shipping complex ML systems to production environments.
  • Demonstrated experience in designing fault-tolerant, distributed systems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP System Architecture Cloud Computing AI Safety

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