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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Initiative

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Horizon Labs as we pioneer the technological landscape of the year 2026. We are seeking a visionary Senior AI Architect to lead our next-generation infrastructure projects. This is a rare opportunity to define the future of artificial intelligence, quantum integration, and autonomous systems. You will be at the forefront of innovation, building scalable, secure, and ethical AI frameworks that will power the digital economy of the future.

Our team is dedicated to pushing the boundaries of what is possible. If you are a technical leader who thrives in a fast-paced, high-impact environment and wants to shape the roadmap for 2026 and beyond, we invite you to apply.

Responsibilities

  • Design and architect scalable, high-performance AI systems capable of processing petabyte-scale data streams.
  • Lead the integration of quantum-ready algorithms into classical machine learning pipelines for the 2026 roadmap.
  • Establish and enforce architectural standards for security, scalability, and maintainability across all AI projects.
  • Collaborate with cross-functional research teams to translate theoretical models into production-ready code.
  • Oversee the deployment of Large Language Models (LLMs) and ensure optimal inference performance.
  • Mentor junior engineers and conduct technical code reviews to foster a culture of excellence.
  • Advocate for ethical AI practices, ensuring compliance with evolving global regulations.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field with a focus on Deep Learning.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Expert proficiency in Python, C++, and distributed systems (Kubernetes, Docker, Apache Kafka).
  • Deep understanding of neural network architectures, optimization techniques, and model deployment strategies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and serverless computing architectures.
  • Strong track record of leading complex technical projects from concept to successful launch.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Machine Learning Deep Learning Kubernetes Docker AWS GCP Neural Networks Quantum Computing AI Ethics System Architecture

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