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Senior AI Architect - Future Tech

Horizon 2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future is Now. At Horizon 2026 Solutions, we are building the infrastructure for tomorrow’s reality. We are seeking a visionary Senior AI Architect to lead the development of next-generation autonomous systems and neural networks. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

As part of our elite engineering team, you will be responsible for designing scalable AI ecosystems that power our global logistics and predictive analytics platforms. This is a unique opportunity to shape the core technology stack of a rapidly scaling enterprise.

Responsibilities

  • Architect End-to-End Solutions: Design and implement scalable, robust AI and machine learning systems for complex real-world problems.
  • Lead Research & Development: Spearhead R&D initiatives into Large Language Models (LLMs) and generative AI to drive product innovation.
  • System Optimization: Oversee the architecture of cloud-native environments, ensuring high availability, security, and performance.
  • Team Leadership: Mentor junior architects and data scientists, fostering a culture of continuous learning and technical excellence.
  • Strategic Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical blueprints.
  • Ethical AI Compliance: Ensure all deployed models adhere to strict ethical guidelines and regulatory standards.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: Minimum of 7+ years of professional experience in software engineering and AI architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • System Design: Proven track record of designing high-throughput, low-latency distributed systems.
  • Problem Solving: Exceptional ability to troubleshoot complex technical challenges and drive solutions from concept to deployment.
  • Communication: Superior verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning TensorFlow PyTorch System Architecture Cloud Computing AWS GCP AI Ethics Leadership

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