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Senior AI Architect - Horizon 2026

Horizon 2026
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are defining the technological roadmap for the future. At Horizon 2026, we are building the next generation of autonomous logistics and neural communication networks. We are seeking a visionary Senior AI Architect to lead our core engineering division.

In this pivotal role, you will design the architectural backbone of our systems, bridging the gap between theoretical AI models and real-world high-performance infrastructure. You will be working on projects that are not just relevant today, but are essential for the year 2026 and beyond.

Why Horizon 2026? We offer a competitive compensation package, stock options, and a collaborative environment where innovation is not just encouraged, it is the metric of success.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI systems designed for high-velocity environments.
  • Lead the design of microservices and cloud-native solutions using Kubernetes and Docker.
  • Collaborate with cross-functional product teams to translate the 2026 vision into technical requirements.
  • Oversee the research and implementation of cutting-edge machine learning algorithms.
  • Ensure data security, compliance, and performance optimization across all deployed services.
  • Mentor senior engineers and conduct rigorous code reviews to maintain engineering excellence.
  • Define technical standards and best practices for the organization.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform).
  • Deep understanding of distributed systems, message queues (Kafka, RabbitMQ), and database technologies.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
  • Proven track record of leading technical teams and driving project success from conception to deployment.

Required Skills

Python TensorFlow AWS Kubernetes Machine Learning Distributed Systems System Architecture AI

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