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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Welcome to the future. At 2026, we aren't just predicting trends; we are defining them. We are seeking a visionary Senior AI Architect to lead our quantum-edge neural network division. You will be at the helm of building the infrastructure that powers tomorrow's autonomous systems and next-generation cognitive interfaces. If you thrive in high-stakes environments and want to shape the technological landscape of the coming decade, this is your opportunity.

We offer a competitive compensation package, equity options, and a culture that prioritizes deep work, continuous learning, and radical transparency. Join us in redefining what is possible.

Responsibilities

  • System Design: Lead the architectural design and deployment of scalable, high-performance machine learning pipelines.
  • Innovation Leadership: Define the technical roadmap for our AI core, exploring and integrating cutting-edge algorithms and quantum computing concepts.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate business requirements into robust technical solutions.
  • Talent Development: Mentor junior engineers and data scientists, fostering a culture of technical excellence and mentorship within the organization.
  • Performance Optimization: Monitor system health and optimize model latency and throughput to ensure real-time responsiveness.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 10+ years of professional experience in software engineering and AI/ML architecture.
  • Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Cloud Expertise: Strong hands-on experience with major cloud providers (AWS, GCP, or Azure) and serverless architectures.
  • Soft Skills: Exceptional problem-solving abilities, strong communication skills, and a passion for ethical AI implementation.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture Distributed Systems TensorFlow PyTorch Kubernetes System Design

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