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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect - 2026 Horizon Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the technological landscape of tomorrow? Nexus Future Labs is seeking a visionary Principal AI Architect to lead the Project 2026 initiative. In this pivotal role, you will define the architectural blueprints for next-generation artificial intelligence systems designed to revolutionize enterprise scalability and autonomous decision-making.

We are not just building software; we are engineering the future. You will work alongside top-tier researchers and engineers to deploy scalable, secure, and ethical AI models that will define the industry standards for the decade ahead. If you possess a deep passion for pushing the boundaries of what is possible in AI, we want to hear from you.

Responsibilities

  • Design and implement scalable AI infrastructure for the 2026 Horizon Initiative, focusing on large language models and predictive analytics.
  • Lead technical strategy for system architecture, ensuring high availability, fault tolerance, and performance optimization across distributed networks.
  • Collaborate with cross-functional teams to translate complex business requirements into robust, scalable technical solutions.
  • Mentor junior architects and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
  • Ensure strict compliance with data privacy regulations (GDPR, CCPA) and ethical AI guidelines.
  • Drive the adoption of cutting-edge technologies, including quantum computing interfaces and edge AI deployment.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specializing in AI/ML systems and cloud environments.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Proven track record of leading large-scale engineering projects from conception to production deployment.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning System Architecture AI/ML Distributed Systems

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