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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Future Systems is seeking a visionary Senior AI Architect (2026 Roadmap) to lead our next-generation artificial intelligence initiatives. We are not just building software; we are defining the technological landscape for the coming decade. In this role, you will design scalable, robust, and ethically sound AI systems that drive competitive advantage.

You will operate at the intersection of research and production, ensuring our AI models are not only cutting-edge but also compliant with global standards. If you have a passion for solving complex problems and a knack for strategic planning, we want to hear from you.

Responsibilities

  • Design and implement the architectural blueprint for AI systems leading up to 2026.
  • Oversee the full lifecycle of machine learning models, from data ingestion to deployment.
  • Collaborate with cross-functional teams (Data Science, Engineering, Product) to align technical strategies with business goals.
  • Establish best practices for MLOps, model governance, and ethical AI usage.
  • Research and evaluate emerging technologies to identify opportunities for innovation.
  • Mentor junior architects and data scientists, fostering a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 8+ years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Strong understanding of deep learning architectures, NLP, and computer vision.
  • Proven experience in leading large-scale technical projects and managing distributed teams.

Required Skills

Machine Learning Deep Learning Python System Architecture MLOps AWS Leadership

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