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Senior AI Architect - Nexus 2026

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join the Future of Intelligence at Nexus 2026

Nexus 2026 is pioneering the next generation of artificial intelligence and machine learning systems. We are seeking a visionary Senior AI Architect to lead our technical roadmap and design scalable, robust solutions that will define the industry standard for 2026 and beyond. You will work at the intersection of theoretical research and practical engineering, pushing the boundaries of what is possible.

If you are passionate about building systems that learn, adapt, and evolve, we want to hear from you.

Responsibilities

  • Architect and implement end-to-end AI solutions and scalable machine learning pipelines.
  • Define and drive the technical strategy for the 2026 AI roadmap, ensuring alignment with business objectives.
  • Mentor and lead a high-performing team of data scientists and engineers, fostering a culture of innovation.
  • Collaborate with product managers and stakeholders to translate complex requirements into technical specifications.
  • Optimize model performance, latency, and accuracy for production environments.
  • Ensure data security, compliance, and ethical AI practices across all projects.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar frameworks.
  • Strong proficiency in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade AI models at scale.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow AWS GCP Kubernetes System Architecture Data Science Deep Learning

Ready to Take This Challenge?

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