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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Year 2026 Initiative

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to architect the future?

Horizon Dynamics is pioneering the Year 2026 initiative, a massive overhaul of our generative AI infrastructure. We are looking for a visionary Senior AI Architect to lead the design, development, and deployment of next-generation neural networks that will define the next decade of technology.

In this role, you won't just write code; you will build the backbone of a sustainable, scalable, and intelligent ecosystem. You will collaborate with top-tier researchers and engineers to push the boundaries of what is possible in artificial general intelligence.

Why Horizon Dynamics?

  • Work on cutting-edge technology with a mission to shape the year 2026 and beyond.
  • Competitive compensation and equity packages.
  • Flexible work environment in the heart of San Francisco.

Join us in building the intelligence that powers the world.

Responsibilities

  • Lead the architectural design of large-scale generative AI models, focusing on scalability and efficiency for the 2026 roadmap.
  • Oversee the full machine learning lifecycle, from data pipeline architecture to model deployment and monitoring.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish best practices for code quality, testing, and documentation within the engineering team.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Evaluate emerging technologies (e.g., Transformer architectures, Edge AI) to drive strategic decision-making.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of professional experience in Machine Learning Engineering or AI Architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying large-scale ML systems in production environments.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design Cloud Computing Kubernetes Docker NLP Generative AI AWS GCP

Ready to Take This Challenge?

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

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