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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Future Tech

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to engineer the future? Quantum Horizon is leading the charge into the 2026 technological era, and we are looking for a visionary Senior AI Architect to build the core intelligence of our next-generation platforms.

We aren't just building software; we are architecting the infrastructure of tomorrow. In this role, you will define the standards for machine learning systems, integrate quantum-ready algorithms, and lead a world-class team of engineers. If you thrive in ambiguity and want to leave a legacy in the evolution of AI, this is the opportunity of a lifetime.

What You’ll Do:

  • Design and deploy scalable, distributed AI systems ready for the 2026 global market.
  • Pioneer research in Generative AI and Neural Network optimization.
  • Bridge the gap between theoretical research and production-grade engineering.
  • Define the technical roadmap for our AI infrastructure stack.
  • Mentor and cultivate a high-performing engineering culture.

Benefits & Perks:

  • Unlimited PTO and remote-first flexibility.
  • Top-tier health, dental, and vision coverage.
  • Annual stipend for continuous learning and development.

Responsibilities

  • Architect and implement end-to-end AI solutions with a focus on scalability and fault tolerance.
  • Lead the research and integration of emerging technologies for the 2026 roadmap.
  • Collaborate with product leaders to translate complex business needs into technical specifications.
  • Ensure data integrity, security, and ethical AI practices across all projects.
  • Optimize existing machine learning pipelines for performance and cost efficiency.

Qualifications

  • Master’s degree or PhD in Computer Science, AI, or a related technical field (or equivalent experience).
  • 7+ years of experience in software engineering and machine learning.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud ecosystems (AWS/Azure/GCP).
  • Experience with distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Strong leadership skills with a track record of mentoring engineering teams.

Required Skills

AI Machine Learning Python TensorFlow PyTorch Cloud Computing System Design Leadership Architecture

Ready to Take This Challenge?

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

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