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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of technology? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead the strategic development of our systems designed to dominate the technological landscape by 2026. We are building the infrastructure that will define the next decade of human-computer interaction.

In this pivotal role, you will bridge the gap between theoretical research and scalable production engineering. You will architect the core neural networks that power our predictive models and ensure our infrastructure is quantum-ready. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art hardware and software stacks.
  • Shape the roadmap for AI adoption by 2026.
  • Competitive compensation and equity packages.
  • Remote-first culture with a focus on results.

Responsibilities

  • Define and execute the technical roadmap for AI systems targeting deployment in 2026 and beyond.
  • Architect scalable, fault-tolerant machine learning pipelines using cloud-native technologies.
  • Lead a team of data scientists and engineers in research and development of generative AI models.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical solutions.
  • Optimize model performance, latency, and accuracy for high-volume production environments.
  • Establish best practices for data governance, model security, and ethical AI usage.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with MLOps, model versioning, and continuous integration/continuous deployment (CI/CD) pipelines.
  • Proven track record of leading high-performance engineering teams.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture AWS MLOps Docker Kubernetes Natural Language Processing Generative AI

Ready to Take This Challenge?

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