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Senior AI Architect - 2026 Initiative

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Horizon 2026 Technologies is pioneering the next generation of artificial intelligence and sustainable infrastructure. As we prepare for the pivotal year 2026, we are seeking a visionary Senior AI Architect to lead our core engineering division.

In this role, you will define the architectural standards for our upcoming suite of autonomous systems and predictive analytics engines. You will work at the intersection of deep learning, cloud scalability, and ethical AI implementation, ensuring our platforms are ready for the future.

Why Join Us?
We offer a competitive salary, equity package, and the opportunity to shape the technology landscape of 2026 and beyond.

Responsibilities

  • Design and implement scalable, fault-tolerant AI systems for the 2026 roadmap.
  • Lead technical strategy and mentor a high-performing team of engineers and data scientists.
  • Collaborate with cross-functional teams to define product requirements and technical specifications.
  • Optimize existing algorithms for performance, accuracy, and energy efficiency.
  • Ensure compliance with data privacy regulations (GDPR/CCPA) and industry best practices.
  • Conduct architectural reviews and code audits to maintain system integrity.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Proficiency in Python, C++, and major deep learning frameworks (TensorFlow, PyTorch).
  • Strong understanding of distributed systems, microservices, and cloud architecture (AWS/GCP).
  • Demonstrated experience in leading large-scale technical projects from concept to deployment.
  • Excellent communication skills and the ability to translate complex technical concepts for stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning Distributed Systems Cloud Architecture Kubernetes Docker

Ready to Take This Challenge?

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