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Senior AI Architect: Project 2026 | San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are defining the future of intelligence. Nexus Horizon Systems is looking for a visionary Senior AI Architect to lead our flagship 'Project 2026' initiative. This is not just a job; it is a chance to engineer the foundation of artificial intelligence for the next decade.

In this pivotal role, you will architect scalable, fault-tolerant systems that redefine what is possible with machine learning. You will work in a high-performance environment where innovation is the only metric that matters. If you are passionate about Generative AI, Neural Architectures, and building systems that scale to millions of users, we want to meet you.

Responsibilities

  • Lead Architecture: Design and oversee the implementation of complex, next-generation AI models and deep learning pipelines.
  • System Optimization: Drive performance tuning and resource optimization for high-volume, low-latency inference systems.
  • Research & Prototyping: Experiment with cutting-edge research papers to prototype novel algorithms that solve real-world problems.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate business goals into robust technical roadmaps.
  • Infrastructure Strategy: Define best practices for cloud deployment, ensuring high availability and security standards are met.
  • Mentorship: Guide and mentor a team of talented engineers, fostering a culture of technical excellence and continuous learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering with a focus on machine learning.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Cloud Expertise: Strong experience designing and deploying scalable systems on AWS, GCP, or Azure.
  • Problem Solving: Proven ability to troubleshoot complex system architectures and optimize for efficiency.
  • Communication: Exceptional verbal and written communication skills with the ability to explain complex technical concepts to diverse audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Cloud Architecture AWS GCP Deep Learning System Design Leadership

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