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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

The Future is Now. Nexus Future Labs is pioneering the 'Project 2026' initiative, a groundbreaking endeavor to redefine the boundaries of Generative AI and Predictive Analytics. We are seeking a visionary Senior AI Architect to lead our technical strategy and build the infrastructure that will power the next decade of innovation.

In this role, you will bridge the gap between theoretical research and scalable production systems. You will architect robust neural networks, optimize inference pipelines, and guide a team of elite engineers in delivering solutions that are not just functional, but transformative.

Why Join Us?
We offer a competitive compensation package, equity packages, and a remote-first culture that prioritizes autonomy and impact.

Responsibilities

  • Architectural Leadership: Define and execute the technical vision for Project 2026, ensuring scalability, security, and performance.
  • Model Development: Design and deploy advanced Machine Learning models, specifically focusing on Large Language Models (LLMs) and computer vision applications.
  • System Optimization: Oversee the optimization of training and inference pipelines to reduce latency and computational costs by 40%.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Research Integration: Stay at the forefront of AI research, integrating cutting-edge academic breakthroughs into commercial products.
  • Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and product managers.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Problem Solving: Demonstrated ability to solve complex, large-scale problems in high-pressure environments.
  • Leadership: Proven track record of leading cross-functional teams and managing technical roadmaps.
  • Communication: Excellent written and verbal communication skills in English.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Cloud Architecture System Design NLP SQL

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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