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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Future Tech (2026)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the next evolution of our technology stack. In the rapidly evolving landscape of 2026, companies that define the future are those that master Artificial General Intelligence (AGI) and autonomous systems. At Nexus Horizon, we are building the infrastructure for tomorrow.

You will not just be maintaining existing models; you will be architecting the neural frameworks that will define the next decade of human-computer interaction. If you are passionate about pushing the boundaries of what is possible with machine learning and want to work in a culture of innovation, we want to meet you.

Why You'll Thrive Here

  • Impactful Work: Directly influence the core algorithms powering our enterprise clients.
  • Future-Ready: Work on cutting-edge tech stacks designed for the 2026 ecosystem.
  • Flexible Culture: Hybrid work model with a focus on output rather than hours.

Responsibilities

  • Design and implement scalable AI/ML architectures tailored for high-frequency, low-latency environments.
  • Lead the research and development of next-generation generative models and NLP pipelines.
  • Oversee the deployment of models on distributed cloud infrastructure (AWS/GCP/Azure).
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Evaluate and integrate emerging hardware accelerators (e.g., TPUs, Quantum-ready hardware) into workflows.
  • Ensure data privacy, security, and ethical AI compliance across all projects.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5+ years of professional experience in deep learning and machine learning engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Experience with large-scale data processing (Spark, Hadoop) and vector databases.
  • Strong problem-solving skills and the ability to translate business requirements into technical solutions.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes AWS Machine Learning Deep Learning NLP System Design AI Architecture

Ready to Take This Challenge?

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