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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Visionary

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are at the precipice of a technological revolution. Nexus Future Tech is seeking a visionary Senior AI Architect to lead our roadmap into 2026 and beyond. If you are passionate about building the infrastructure that powers the next generation of generative AI and autonomous systems, this is your opportunity to shape the future.

As part of our elite engineering team, you will define the architectural standards for our proprietary LLMs and edge computing solutions. You will bridge the gap between theoretical research and scalable production systems, ensuring our AI models are robust, efficient, and ethically aligned.

Why Join Us?

  • Future-Proof Role: Work on cutting-edge technologies defining the 2026 landscape.
  • Global Impact: Your work will be used by millions, driving efficiency and innovation.
  • Competitive Compensation: Top-tier salary and equity package.

Responsibilities

  • Design and implement scalable, high-performance AI architectures for 2026-era applications.
  • Lead the research and integration of novel machine learning algorithms and deep learning models.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Optimize model inference latency and reduce computational costs for large-scale deployment.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Ensure data privacy, security, and compliance in all AI systems.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • 7+ years of experience in software engineering with a focus on AI/ML.
  • Proficiency in Python, C++, and major deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure), and MLOps.
  • Experience with Large Language Models (LLMs) and prompt engineering is highly desirable.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AWS MLOps LLMs AI Architecture

Ready to Take This Challenge?

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