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Senior AI Architect (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to lead our next generation of intelligent systems. In a world rapidly evolving towards advanced Artificial General Intelligence, your role will be pivotal in defining the technical roadmap and architectural standards that will define the landscape of 2026 and beyond. You will be at the forefront of innovation, bridging the gap between theoretical AI research and scalable, production-ready engineering.

Why Join Us?
We are a high-growth tech unicorn focused on solving humanity's most complex data challenges. As part of our core AI division, you will work with state-of-the-art hardware and collaborate with world-class researchers.

Responsibilities

  • Architect and deploy scalable, fault-tolerant machine learning infrastructure capable of processing petabytes of data.
  • Define and implement the technical vision for our 2026 AI roadmap, ensuring alignment with business objectives.
  • Lead a team of data scientists and ML engineers to drive model training, validation, and deployment.
  • Optimize deep learning models for latency and throughput in high-concurrency environments.
  • Establish best practices for MLOps, including CI/CD pipelines for AI models and automated monitoring.
  • Conduct architectural reviews and provide technical mentorship to junior staff members.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 7+ years of experience in software engineering, with at least 4 years dedicated to AI/ML architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong experience with NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of leading cross-functional teams and delivering complex projects on time.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Computing Kubernetes AWS Distributed Systems

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