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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to lead the development of the next generation of autonomous AI systems. At Nexus Future Systems, we don't just predict the future; we build it. As we approach the pivotal year of 2026, our mission is to deploy Agentic AI frameworks that redefine human-machine collaboration. You will be at the forefront of Multimodal Large Language Models (LLMs) and Autonomous Agent architectures.

Why Join Us?
We offer a competitive equity package, remote-first flexibility, and the chance to work on projects that will shape the technological landscape for the next decade.

Responsibilities

  • Design and architect scalable neural network infrastructures capable of supporting the demands of 2026-scale AI workloads.
  • Lead research and development initiatives focused on Agentic AI, autonomous decision-making loops, and multimodal reasoning.
  • Optimize large-scale transformer models for inference speed and energy efficiency.
  • Collaborate with cross-functional teams (Product, Engineering, Ethics) to define technical roadmaps for future AI capabilities.
  • Implement rigorous testing and validation protocols to ensure safety, fairness, and reliability in AI deployments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Extensive experience (7+ years) in designing and deploying production-grade Machine Learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern GPU acceleration technologies (CUDA, cuDNN).
  • Proven track record of working with Large Language Models (LLMs) and fine-tuning techniques (LoRA, QLoRA).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs Agentic AI Distributed Systems Cloud Computing CUDA

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