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Senior AI Architect: Shaping the 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of Artificial Intelligence? Nexus Horizon is seeking a visionary Senior AI Architect to spearhead our groundbreaking initiatives for the 2026 era. If you thrive at the intersection of advanced Machine Learning, Deep Learning, and scalable cloud architecture, this is your chance to build the next generation of intelligent systems.

We are looking for a thought leader who doesn't just implement existing models but architects the infrastructure for tomorrow's breakthroughs. Join us in shaping the trajectory of AI technology and set the standard for ethical, high-performance intelligence.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable, robust AI infrastructure capable of supporting complex 2026-era workloads.
  • Lead Research & Development: Drive innovation in Large Language Models (LLMs) and generative AI, focusing on performance optimization and reduction of hallucinations.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate business requirements into technical AI solutions.
  • Model Deployment: Oversee the end-to-end MLOps lifecycle, ensuring seamless deployment, monitoring, and retraining of models in production environments.
  • Ethical AI Governance: Establish and enforce guidelines for responsible AI usage, ensuring compliance with emerging industry standards and safety protocols.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering with a focus on AI/ML architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • System Design: Deep understanding of distributed systems, microservices, and high-availability architecture.
  • Leadership: Proven track record of leading technical teams and mentoring junior engineers in AI best practices.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow AWS GCP Cloud Architecture System Design MLOps

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