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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Systems Architect

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Future-Ready AI Systems Architect to spearhead our roadmap for the year 2026. In an era defined by rapid technological evolution, you will be the architect behind our next-generation neural networks and scalable infrastructure. You will define the technical strategy that bridges the gap between today’s capabilities and the future of human-machine interaction.

Why Join Us?

As a leader in the 2026 vision, we offer competitive equity, unlimited PTO, and the chance to work on projects that redefine industry standards. We value innovation, autonomy, and a culture of continuous learning.

Responsibilities

  • Design and implement scalable, high-performance AI architectures aligned with the 2026 strategic vision.
  • Lead the research and development of cutting-edge machine learning models and quantum-ready algorithms.
  • Oversee the migration of legacy systems to next-gen cloud-native environments.
  • Establish best practices for ethical AI governance and data security compliance.
  • Collaborate with product leaders to translate complex technical requirements into user-centric solutions.
  • Mentor junior engineers and foster a culture of technical excellence within the team.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of leading technical teams in a high-growth environment.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes).
  • Excellent communication skills with the ability to influence cross-functional stakeholders.
  • Experience with large language models (LLMs) and generative AI integration.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Kubernetes Machine Learning Engineering

Ready to Take This Challenge?

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