Home Job Details
Q
Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Quantum Horizon Tech
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

Are you ready to build the technology that will define the year 2026? At Quantum Horizon Tech, we are on a mission to pioneer the next generation of Artificial Intelligence. We are seeking a visionary Lead AI Architect to lead our research and engineering teams in designing scalable, secure, and transformative AI systems.

In this role, you will bridge the gap between cutting-edge research and production-grade infrastructure. You will not just use existing tools; you will help define the architectural standards for the next decade of technological evolution.

Why Join Us?

  • Work on high-impact projects that shape the future of global industries.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to mentor world-class engineers and researchers.

Responsibilities

  • Design and implement scalable machine learning infrastructure and MLOps pipelines for large-scale deployment.
  • Lead the architectural vision for Generative AI models, ensuring high performance, accuracy, and safety.
  • Collaborate with cross-functional teams (Data Science, Product, Security) to translate business requirements into technical solutions.
  • Research emerging trends in AI, NLP, and Computer Vision to keep our stack at the forefront of innovation.
  • Mentor and develop junior architects and engineers, fostering a culture of continuous learning and technical excellence.
  • Ensure compliance with ethical AI guidelines and data privacy regulations (GDPR, CCPA).

Qualifications

  • 10+ years of experience in software engineering and machine learning, with at least 3 years in a senior or lead architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing and deploying Large Language Models (LLMs) and Generative AI applications.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with vector databases and semantic search architectures.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning MLOps Generative AI LLMs Cloud Architecture TensorFlow PyTorch Kubernetes Docker AWS GCP

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