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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect – Shaping the 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technology landscape of 2026? At Nexus Horizon, we are not just building the future; we are architecting the very fabric of next-generation intelligence.

As a Senior AI Architect, you will lead the charge in developing scalable, ethical, and groundbreaking AI systems. You will bridge the gap between theoretical research and production-grade deployment, ensuring our solutions are robust, efficient, and visionary.

We are looking for a pioneer who thrives in ambiguity and possesses the technical depth to turn complex algorithms into seamless user experiences.

Responsibilities

  • Architect Next-Gen AI Solutions: Design and implement scalable machine learning pipelines and neural network architectures tailored for 2026-era demands.
  • Lead Research & Development: Spearhead R&D initiatives exploring cutting-edge advancements in Generative AI and Quantum Computing integration.
  • Optimize Performance: Push the boundaries of computational efficiency, ensuring low-latency processing on high-performance hardware.
  • Lead Team Mentorship: Guide a team of talented engineers, fostering a culture of innovation, continuous learning, and technical excellence.
  • Strategic Roadmapping: Collaborate with product leadership to define technical roadmaps that align with long-term business goals.
  • Ensure Ethical Governance: Ensure all deployed models adhere to the highest standards of fairness, transparency, and safety.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying large-scale models.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (e.g., Apache Spark, Ray).
  • Frameworks: Deep understanding of MLOps, CI/CD pipelines for machine learning, and cloud infrastructure (AWS/GCP/Azure).
  • Problem Solving: Exceptional ability to debug complex systems and optimize algorithms for performance and accuracy.
  • Communication: Excellent verbal and written skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Cloud Computing Distributed Systems AI Architecture Generative AI

Ready to Take This Challenge?

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