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Senior AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are on the cusp of a technological revolution, and Nexus Horizon is seeking a visionary Senior AI Architect to lead the charge into the future. In this pivotal role, you will define the architectural blueprints for our next-generation artificial intelligence systems, ensuring scalability, security, and ethical alignment for the 2026 era and beyond.

Join a team of forward-thinkers who are not just building software, but reshaping the digital landscape. You will work at the intersection of deep learning, quantum computing integration, and large-scale cloud infrastructure. If you are passionate about the ethical implications of AI and possess the technical prowess to build systems that last, we want to hear from you.

Responsibilities

  • Architect and implement scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the research and integration of cutting-edge Generative AI models and Quantum algorithms.
  • Establish and enforce best practices for data privacy, model security, and ethical AI governance.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Conduct rigorous performance tuning and optimization to ensure low-latency inference in production environments.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (Ph.D. preferred).
  • 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and AI systems architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Proven track record of deploying large-scale AI models in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of MLOps pipelines, CI/CD, and containerization technologies.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS MLOps Kubernetes Machine Learning Deep Learning System Architecture Cloud Computing

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