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Senior AI Architect - The Future of 2026

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

Job Description

About Nexus 2026

We are not just building for today; we are engineering the reality of 2026. Nexus 2026 is a pioneering think-tank and software firm dedicated to solving humanity's most complex challenges through next-generation Artificial Intelligence. We are seeking a visionary Senior AI Architect to lead our R&D division in defining the autonomous systems of tomorrow.

In this role, you won't be maintaining legacy code. You will be architecting the core neural pathways for our predictive intelligence platforms, ensuring scalability, ethical integrity, and groundbreaking performance.

Responsibilities

  • Lead the architectural design of Generative AI models and autonomous decision-making systems.
  • Define and implement scalable data pipelines for high-frequency trading and predictive analytics.
  • Collaborate with cross-functional teams to integrate AI agents into web3 and IoT ecosystems.
  • Establish best practices for model explainability and bias mitigation in AI deployment.
  • Mentor junior engineers and researchers to foster a culture of continuous innovation.
  • Prioritize security and privacy in the design of decentralized AI networks.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering with a focus on Machine Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
  • Proven track record of deploying large-scale LLMs and neural networks in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
  • Demonstrated ability to navigate the ethical implications of advanced AI technologies.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow Cloud Architecture Data Science Ethics in AI

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