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Senior AI Architect (2026 Roadmap)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our groundbreaking initiatives for the 2026 Roadmap. At Nexus Future Labs, we are building the infrastructure required to transition seamlessly into the next generation of intelligent systems. You will be responsible for architecting scalable, secure, and high-performance AI solutions that prepare our ecosystem for the demands of 2026 and beyond.

This is a rare opportunity to work at the intersection of Generative AI, Quantum Computing, and Edge Intelligence. If you are passionate about defining the future and have a deep technical background in large-scale machine learning systems, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Design and implement robust AI architectures capable of scaling to enterprise-grade demands in 2026.
  • R&D Leadership: Lead research and development in next-gen algorithms, specifically focusing on Quantum-Ready Machine Learning models.
  • System Optimization: Improve latency, throughput, and accuracy of existing neural networks to meet strict real-time processing requirements.
  • Technical Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Planning: Collaborate with product teams to define technical roadmaps and ensure alignment with long-term business goals.
  • Security & Compliance: Implement rigorous security protocols to protect proprietary data within AI models and training pipelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred for R&D focus).
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architect role.
  • Core Tech: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • 2026 Vision: Demonstrated experience with distributed systems, high-performance computing (HPC), and future-tech stack concepts.
  • Communication: Excellent ability to translate complex technical concepts into clear business value for stakeholders.
  • Problem Solving: Proven track record of solving ambiguous, complex technical problems in fast-paced environments.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Distributed Systems Quantum Computing System Architecture

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