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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to build the infrastructure of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation machine learning initiatives. In this pivotal role, you will define the architectural framework for our proprietary AI models, ensuring scalability, security, and ethical integrity as we push the boundaries of technology in 2026 and beyond.

We are not just building software; we are defining the future of human-computer interaction. You will collaborate with cross-functional teams to integrate cutting-edge Large Language Models (LLMs) and generative AI into enterprise solutions that drive real-world impact.

Responsibilities

  • Architectural Leadership: Design and oversee the end-to-end architecture of scalable AI systems, focusing on high-availability, fault tolerance, and performance optimization.
  • Model Development: Lead the research and implementation of advanced deep learning models, including Transformers, GANs, and reinforcement learning agents.
  • Ethical AI Compliance: Ensure all AI systems adhere to strict ethical guidelines and regulatory standards (such as the AI Bill of Rights) to mitigate bias and ensure fairness.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
  • Strategic Planning: Translate complex business requirements into robust technical roadmaps for AI integration across the organization.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture and system design.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
  • Cloud Expertise: Deep understanding of cloud-native architecture (AWS, GCP, or Azure) and containerization technologies.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Design Cloud Architecture Kubernetes AWS AI Ethics

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