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Senior AI Architect: 2026 Future Tech

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? At Nexus Horizon Labs, we are building the next generation of artificial intelligence that will redefine human-machine interaction. We are seeking a visionary Senior AI Architect to lead our research and development efforts in Generative AI, Quantum-Augmented Neural Networks, and Autonomous Systems.

As a key member of our elite R&D team, you will bridge the gap between theoretical computer science and practical, scalable solutions. You will not just be building software; you will be architecting the infrastructure that powers the future of commerce, healthcare, and communication.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI infrastructure capable of handling exascale data processing for 2026 and beyond.
  • Pioneer Next-Gen Algorithms: Lead research initiatives into Quantum Machine Learning and Large Language Models (LLMs) to enhance predictive analytics.
  • Cross-Functional Leadership: Collaborate with quantum computing specialists, data scientists, and product managers to translate complex research into deployable products.
  • Optimization & Performance: Drive the optimization of model latency and throughput, ensuring real-time processing in high-stakes environments.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and researchers.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field with a focus on theoretical mathematics.
  • Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural role.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Innovation: Demonstrated history of patenting novel algorithms or publishing in top-tier AI conferences (NeurIPS, ICML).
  • Soft Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

AI Machine Learning Python TensorFlow PyTorch Quantum Computing System Design Cloud Architecture Neural Networks NLP

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