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Information Technology 🏒 Full Time ⭐️ Verified

Senior Next-Gen AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to build the infrastructure of tomorrow?

Nexus Future Systems is seeking a visionary Senior Next-Gen AI Architect to lead our cutting-edge initiatives designed for the technological landscape of 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical quantum advancements and practical deep learning applications, engineering systems that define the next era of artificial intelligence.

We are not just building software; we are architecting the future. If you thrive in ambiguity and are passionate about pushing the boundaries of what is possible in machine learning and computational intelligence, we want to hear from you.

Responsibilities

  • Architect Next-Gen AI Solutions: Design and implement scalable, high-performance machine learning models and quantum-classical hybrid algorithms tailored for the 2026 tech stack.
  • Lead Technical Strategy: Define the technical vision for AI integration across product lines, ensuring alignment with long-term business goals and futuristic trends.
  • Optimize Computational Efficiency: Spearhead research into neuromorphic computing and edge AI to reduce latency and power consumption in real-time systems.
  • Collaborate with Interdisciplinary Teams: Partner with quantum physicists, data scientists, and product managers to translate complex research into deployable software.
  • Drive Innovation: Stay ahead of emerging technologies (e.g., AGI, Synthetic Data) and integrate them into our core architecture.

Qualifications

  • Advanced Degree: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on AI or Quantum Computing.
  • Technical Proficiency: Extensive experience with Python, C++, and deep learning frameworks (TensorFlow, PyTorch). Familiarity with quantum computing libraries (Qiskit, Cirq) is highly desirable.
  • System Design: Strong background in distributed systems, cloud architecture, and high-availability environments.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.
  • Leadership: Proven track record of mentoring engineering teams and leading technical projects from conception to deployment.

Required Skills

Python C++ Quantum Computing Deep Learning Neural Networks System Architecture Cloud Computing Machine Learning TensorFlow PyTorch

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