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AI Architect (2026 Vision) | Horizon Dynamics | San Francisco, CA

Horizon Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Horizon Dynamics is seeking a visionary AI Architect (2026 Vision) to lead our next-generation initiatives.

In this pivotal role, you will define the technical strategy for our 2026 roadmap, integrating cutting-edge machine learning with scalable infrastructure. You will work at the intersection of human creativity and machine reasoning, building systems that don't just process data but predict and adapt to the evolving digital landscape.

Why Horizon Dynamics?

We are the architects of the autonomous future. Our team is building the neural backbone for the next century of commerce and science, and we need a leader who can see beyond the horizon.

Responsibilities

  • Design and implement robust, scalable AI architectures capable of processing petabytes of real-time data.
  • Lead the integration of generative AI models into core enterprise products, ensuring high performance and low latency.
  • Define technical roadmaps and standards for machine learning operations (MLOps) in a cloud-native environment.
  • Collaborate with cross-functional teams to translate business goals into technical specifications for 2026.
  • Ensure system security, compliance, and ethical AI practices.
  • Conduct architectural reviews and mentor junior engineers on advanced AI techniques.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Master’s degree in Computer Science, Data Science, or a related technical field.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Kubernetes/Docker).
  • Strong understanding of distributed systems and microservices architecture.
  • Proven ability to lead technical teams and drive innovation in ambiguous environments.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow PyTorch Kubernetes AWS Cloud Computing MLOps Data Engineering San Francisco California

Ready to Take This Challenge?

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

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