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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Tech Specialist | San Francisco

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technology of tomorrow?

Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our 2026 strategic technology roadmap. We are at the forefront of the next industrial revolution, building the infrastructure for a hyper-connected, autonomous future. If you thrive on solving complex problems and have a passion for pushing the boundaries of artificial intelligence, this is your opportunity to lead the charge.

In this pivotal role, you will design and implement cutting-edge AI systems that will define our product suite for the next decade. You will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are scalable, secure, and revolutionary.

Why Join Us?

  • Work on the bleeding edge of technology.
  • Competitive compensation and equity package.
  • Flexible remote-first hybrid policy.

Ready to shape the future? Apply today.

Responsibilities

  • Architect Design: Design and implement scalable, quantum-ready neural network architectures for our core product suite.
  • Research & Development: Lead R&D initiatives in Generative AI, Large Language Models (LLMs), and autonomous agents.
  • System Integration: Integrate AI models into legacy and modern cloud infrastructure using Python, TensorFlow, and PyTorch.
  • Performance Optimization: Optimize model latency and throughput for real-time decision-making applications.
  • Team Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Strategic Planning: Collaborate with product managers to define technical requirements for the 2026 roadmap.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Technical Skills: Deep expertise in Python, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Specialized Knowledge: Strong understanding of Quantum Computing principles and edge AI deployment.
  • Communication: Excellent ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Artificial Intelligence Machine Learning Deep Learning TensorFlow PyTorch Cloud Computing AWS GCP Quantum Computing Leadership System Architecture

Ready to Take This Challenge?

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

Apply Now

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