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Senior AI Architect | 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are Nexus Horizon, a pioneer in next-generation artificial intelligence. We are looking for a visionary Senior AI Architect to lead our R&D division into 2026 and beyond. In this pivotal role, you will design the neural architectures that will power autonomous systems, generative media, and predictive analytics for the next decade.

If you are passionate about pushing the boundaries of machine learning and want to build the future of technology, we want to meet you.

Responsibilities

  • Architect Next-Gen Models: Design and implement scalable deep learning architectures tailored for the 2026 technological landscape, focusing on LLMs and multi-modal systems.
  • Lead Research & Development: Spearhead internal research initiatives to discover novel algorithms that outperform current industry standards.
  • Optimize Performance: Drive efficiency improvements in model inference and training throughput using distributed computing and hardware acceleration.
  • System Integration: Bridge the gap between theoretical AI models and practical, production-grade software systems using MLOps pipelines.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Strategic Roadmap: Collaborate with product leadership to define the AI roadmap for the upcoming fiscal years.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed training frameworks.
  • Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a senior or architect role.
  • Specialized Knowledge: Strong understanding of Transformer models, Reinforcement Learning, or Federated Learning.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex, large-scale engineering challenges.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Cloud Computing AWS Kubernetes Transformer Models Reinforcement Learning

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