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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 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to shape the technological landscape of the future? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives targeting the 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical AI research and production-grade systems, defining the architecture that will power our next generation of intelligent applications.

We are not just building for today; we are architecting the infrastructure for tomorrow. You will work in a high-performance environment, collaborating with elite engineers and data scientists to deploy scalable, ethical, and transformative AI solutions.

Responsibilities

  • Architect & Design: Lead the end-to-end architectural design of large-scale AI systems, focusing on scalability, security, and performance for 2026 standards.
  • R&D Leadership: Spearhead research and development in Generative AI, LLM optimization, and autonomous agent frameworks.
  • Technical Strategy: Define the technical vision and roadmap, evaluating emerging technologies to ensure Nexus Horizon remains at the forefront of innovation.
  • Team Mentorship: Mentor junior architects and data scientists, fostering a culture of technical excellence and continuous learning.
  • Model Deployment: Oversee the deployment of AI models into production environments, ensuring high availability and real-time inference capabilities.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and stakeholders to translate business requirements into robust technical solutions.
  • Compliance & Ethics: Ensure all AI systems adhere to ethical guidelines, data privacy regulations, and industry standards.

Qualifications

  • Experience: 7+ years of experience in software engineering or data science, with at least 3 years in a senior architectural or lead technical role.
  • Education: Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
  • AI Specialization: Proven track record in designing and implementing Deep Learning, NLP, or Computer Vision solutions.
  • System Design: Strong understanding of distributed systems, microservices architecture, and high-availability systems.
  • Problem Solving: Exceptional ability to troubleshoot complex technical challenges and drive innovative solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Azure Machine Learning Deep Learning NLP LLM System Architecture Kubernetes Docker Generative AI

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