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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon Initiative

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our "2026 Horizon" initiative. As we stand on the precipice of a technological singularity, your work will define the capabilities of intelligent systems for the coming decade.

At Nexus Future Technologies, we aren't just building software; we are engineering the fabric of the future. You will be responsible for architecting scalable, autonomous AI systems designed to thrive in complex, unstructured environments. This is a unique opportunity to shape the trajectory of AI evolution for the 2026 era and beyond.

Why Join Us?

  • Work on cutting-edge, futuristic technologies.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with a presence in the heart of SF.

Responsibilities

  • Lead the architectural design and implementation of next-generation machine learning models and neural networks.
  • Drive the research and development of autonomous agents and generative AI systems for the 2026 ecosystem.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into core product offerings.
  • Establish best practices for model deployment, scalability, and ethical AI usage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define the technical roadmap for AI infrastructure, ensuring readiness for future scalability.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in machine learning engineering, with at least 5 years in a senior architectural role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven experience with Large Language Models (LLMs), NLP, and generative AI architectures.
  • Strong understanding of cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, innovative, and high-stakes environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM AWS Docker Kubernetes AI Architecture Python Software Engineering

Ready to Take This Challenge?

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