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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2024 Focus)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are looking for a visionary Senior AI Architect to lead our transformative initiatives in 2024. At Nexus Horizon Solutions, we are not just building software; we are engineering the future of human-machine interaction. In this pivotal role, you will spearhead the development of next-generation artificial intelligence systems designed to solve complex, real-world problems.

You will work in a high-performance environment that prioritizes innovation, ethical AI practices, and scalable infrastructure. If you are passionate about pushing the boundaries of what's possible in machine learning and deep learning, we want to hear from you.

Why Join Us?

  • Competitive compensation and equity package.
  • Flexible remote-first culture with occasional in-office collaboration.
  • Access to cutting-edge hardware and proprietary datasets.
  • Opportunity to mentor junior engineers and shape technical standards.

Responsibilities

  • Architect and deploy scalable Machine Learning and Deep Learning pipelines to production environments.
  • Design and optimize neural network architectures for high-velocity data processing.
  • Collaborate with cross-functional product teams to translate business requirements into technical AI solutions.
  • Implement robust MLOps strategies to ensure model reliability, monitoring, and retraining.
  • Conduct rigorous code reviews and establish best practices for AI development.
  • Stay abreast of the latest research in AI/ML to integrate novel techniques into our product suite.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior architect role.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong grasp of MLOps, data engineering, and model versioning.
  • Demonstrated ability to lead technical projects from conception to delivery.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing AWS GCP Docker Kubernetes MLOps Data Science

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