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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Senior AI & Future Tech Architect to join our elite R&D team. At Nexus Future Systems, we are building the infrastructure for the next decade. As we approach 2026, the convergence of Artificial Intelligence, Quantum Computing, and Neural Interfaces is accelerating. We need a technical leader who can design scalable, robust, and ethically sound systems for the future.

In this role, you won't just maintain legacy code; you will architect the foundation for tomorrow's breakthroughs. You will bridge the gap between theoretical AI research and production-ready software engineering.

Responsibilities

  • Architect Future Systems: Design and oversee the implementation of high-scale AI infrastructure and next-gen software solutions.
  • Lead R&D Initiatives: Spearhead research projects focusing on generative AI, predictive modeling, and autonomous systems.
  • Model Optimization: Optimize deep learning models for latency, throughput, and energy efficiency in edge environments.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Cross-Functional Collaboration: Partner with product managers and designers to translate futuristic concepts into user-centric applications.
  • Security & Compliance: Ensure all AI architectures adhere to the highest standards of data privacy and ethical AI guidelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Stack: Proficiency in Python, C++, and at least one deep learning framework (PyTorch, TensorFlow, or JAX).
  • Cloud Expertise: Strong experience designing scalable architectures on AWS, GCP, or Azure.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems using data-driven approaches.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python Cloud Architecture AWS GCP System Design Neural Networks

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