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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Readiness

Quantum Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Are you ready to architect the future? Quantum Future Labs is seeking a visionary Senior AI Architect to spearhead our initiatives leading into 2026. We are building the next generation of autonomous agents and generative intelligence systems that will redefine the digital landscape. In this role, you will not just build models; you will define the ethical frameworks and architectural standards for the AI of tomorrow.

Why join us?

  • Shape the 2026 Roadmap: Work on cutting-edge technology that will be the industry standard in 2026 and beyond.
  • Impact at Scale: Deploy AI solutions that serve millions of users globally.
  • Elite Team: Collaborate with world-class engineers and data scientists.

If you are passionate about the convergence of machine learning, ethics, and scalable infrastructure, we want to hear from you.

Responsibilities

  • Architect Design: Design and implement scalable, robust AI systems and infrastructure capable of handling petabyte-scale data.
  • Future-Proofing: Research and prototype emerging technologies (e.g., Transformer variants, Neuromorphic computing) to prepare our stack for the 2026 release cycle.
  • Model Optimization: Lead efforts in model compression, quantization, and edge deployment to ensure low-latency AI experiences.
  • Ethical AI Governance: Establish and enforce guidelines for bias mitigation, data privacy, and responsible AI deployment.
  • Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stakeholder Collaboration: Translate complex technical concepts into clear strategies for product and executive stakeholders.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 7+ years of experience in software engineering and AI/ML development.
  • Core Skills: Deep proficiency in Python, C++, and experience with major ML frameworks (PyTorch, TensorFlow, JAX).
  • System Design: Strong understanding of distributed systems, microservices, and cloud architecture (AWS, GCP, or Azure).
  • Algorithm Expertise: Proven track record of developing novel algorithms or optimizing existing ones for production environments.
  • Communication: Excellent verbal and written communication skills with the ability to present technical strategies to non-technical audiences.

Required Skills

Python Machine Learning Deep Learning Artificial Intelligence System Design Cloud Computing PyTorch TensorFlow AWS GCP C++

Ready to Take This Challenge?

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