Home Job Details
Q
Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap | San Francisco, CA

Quantum Leap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Quantum Leap Systems is pioneering the next generation of intelligent interfaces for the year 2026. We are seeking a visionary Lead AI Architect to architect robust, scalable, and future-proof solutions that redefine user interaction.

In this pivotal role, you will lead a team of engineers in developing the core technology stack for our upcoming product lines, focusing on predictive analytics, autonomous agents, and next-gen spatial computing. You will bridge the gap between theoretical AI research and practical, high-performance engineering.

Why Join Us?

  • Work on the technology stack that will define the 2026 digital landscape.
  • Competitive compensation and equity package.
  • Remote-first culture with a hub in San Francisco.

Responsibilities

  • Define and execute the technical vision for AI infrastructure, specifically targeting 2026 standards.
  • Lead the design and implementation of machine learning models and neural networks.
  • Mentor and guide a team of senior engineers and data scientists.
  • Collaborate with product managers to translate business requirements into technical solutions.
  • Optimize systems for scalability, latency, and real-time processing.
  • Stay ahead of industry trends to ensure our technology remains cutting-edge.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of leading high-performance engineering teams.

Required Skills

Python Machine Learning AI Architecture TensorFlow PyTorch Cloud Computing Docker Kubernetes NLP Computer Vision Leadership

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All