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Senior AI Architect (Project 2026) - San Francisco

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Future of Intelligence

Nexus Horizon is at the forefront of the 2026 AI revolution. We are building the next generation of autonomous systems, and we are looking for a visionary Senior AI Architect (Project 2026) to lead our technical strategy. You will define the core infrastructure that powers our predictive models and machine learning ecosystems.

In this role, you won't just write code; you will architect the future. You will collaborate with world-class engineers, data scientists, and product managers to deliver scalable, high-performance AI solutions that redefine industry standards.

Why Join Us?

  • Work on cutting-edge projects that define the tech landscape of 2026.
  • Competitive compensation and equity package.
  • Unlimited PTO and remote-first flexibility.

If you are passionate about the intersection of deep learning, distributed systems, and futuristic scalability, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning pipelines and deep learning architectures for the 2026 roadmap.
  • Lead technical strategy for AI model deployment, optimization, and monitoring in production environments.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct research into emerging AI technologies to ensure our systems remain at the cutting edge.
  • Ensure system reliability, security, and performance compliance for all AI workloads.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 8+ years of experience in software engineering with a strong focus on machine learning and AI.
  • Proficiency in Python, TensorFlow, PyTorch, and C++.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps practices.
  • Experience with Large Language Models (LLMs), Generative AI, or Reinforcement Learning.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Distributed Systems C++ Python

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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