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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Horizon

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are at the precipice of a technological renaissance. Nexus Horizon is looking for a visionary Senior AI Architect to lead our 2026 Innovation Initiative. In this role, you will not just build software; you will architect the future of intelligent systems, integrating advanced machine learning, predictive analytics, and next-gen neural interfaces. Join us in shaping the digital landscape of the next decade.

What You Will Do:

  • Lead the architectural design for scalable, distributed AI systems focused on the 2026 roadmap.
  • Define best practices for ethical AI, data governance, and model explainability.
  • Collaborate with cross-functional teams to translate strategic visions into technical realities.
  • Drive the integration of Generative AI and Large Language Models into enterprise workflows.

Responsibilities

  • Define and execute the technical strategy for the 2026 product suite, ensuring alignment with business goals.
  • Oversee the development and deployment of high-performance machine learning models and pipelines.
  • Mentor and lead a team of talented engineers and data scientists.
  • Conduct research on emerging technologies, including quantum computing and advanced robotics integration.
  • Ensure system security, scalability, and reliability in a cloud-native environment.
  • Communicate complex technical concepts to non-technical stakeholders and executives.

Qualifications

  • 10+ years of experience in software engineering, data science, or AI architecture.
  • Proven experience in designing and implementing large-scale machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of NLP, computer vision, and deep learning architectures.
  • Experience with MLOps, data pipelines, and real-time processing technologies.
  • Excellent leadership skills with a track record of managing high-performing teams.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture MLOps NLP Leadership Data Science

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