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Senior AI Architect: Shaping the 2026 Landscape

Quantum Nexus
Austin
Estimated Salary
USD 160.000 – USD 210.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to design the technological infrastructure that will define 2026 and beyond. At Quantum Nexus, we are not just predicting the future; we are engineering it. You will be at the forefront of integrating advanced artificial intelligence with sustainable business practices to create scalable, high-impact solutions.

Join our elite team of engineers and strategists in the heart of Texas' tech hub. This is an opportunity to lead major architectural decisions that will shape our roadmap for the next five years.

Responsibilities

  • Architect Future-Ready Solutions: Design and implement robust AI architectures capable of handling next-generation data streams and predictive modeling.
  • Lead the 2026 Roadmap: Translate abstract strategic goals into concrete technical specifications for the 2026 product cycle.
  • Optimize Neural Networks: Oversee the training and fine-tuning of large language models and neural networks for high-performance applications.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering leads to ensure technical feasibility and business alignment.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior developers and conducting technical workshops.
  • Security & Compliance: Ensure all AI systems adhere to rigorous security protocols and ethical AI standards.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/GCP).
  • Strategic Vision: Proven track record of leading technical roadmaps for large-scale enterprise software.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to solve ambiguous problems and drive innovation in a fast-paced environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture (AWS/GCP) Kubernetes AI Strategy System Design Agile Methodologies

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