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Senior AI Architect | Future Tech (Class of 2026) | San Francisco, CA

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our cutting-edge research division. At Apex Future Systems, we aren't just building software for today; we are architecting the foundational intelligence that will power the world of 2026 and beyond.


In this role, you will define the roadmap for our proprietary Neural Processing Units (NPUs) and guide a team of elite engineers in deploying autonomous systems. If you are passionate about the intersection of generative AI, quantum computing, and ethical technology, we want to meet you.

Responsibilities

  • Architectural Leadership: Design and implement scalable AI infrastructure capable of processing petabytes of real-time data.
  • R&D Direction: Spearhead research initiatives in Large Language Models (LLMs) and Computer Vision to stay ahead of the 2026 tech curve.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Optimization: Optimize model inference speed and reduce computational costs for edge devices.
  • Strategic Planning: Collaborate with product managers to translate complex AI capabilities into user-friendly features.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in AI/ML engineering, with at least 3 years in a senior leadership role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • System Design: Deep understanding of distributed systems, microservices, and cloud-native architectures (AWS/GCP).
  • Soft Skills: Exceptional communication skills and the ability to thrive in a fast-paced, high-impact environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing AWS GCP System Design

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