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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

Apex 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of the next industrial revolution. Apex 2026 is building the operating system for intelligent machines, and we are seeking a visionary Senior AI Architect to lead our core infrastructure team.

In this pivotal role, you will design scalable neural architectures, optimize model inference, and ensure our systems can handle the demands of a hyper-connected world. If you are passionate about the future of technology and want to define the standards for the upcoming decade, this is your moment.

Why join Apex 2026?

  • Work on next-generation AI models that will shape the landscape of 2026 and beyond.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a focus on innovation.

Responsibilities

  • Design and implement cutting-edge AI models using PyTorch and TensorFlow.
  • Architect scalable microservices for real-time data processing and low-latency inference.
  • Collaborate closely with data scientists and researchers to translate theoretical models into production-ready code.
  • Optimize cloud infrastructure for cost-efficiency, security, and high availability.
  • Lead the technical strategy and roadmap for our AI engineering initiatives.
  • Mentor junior engineers and conduct rigorous code reviews.

Qualifications

  • Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or AI development.
  • Deep expertise in Python, SQL, and distributed systems.
  • Experience with major cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of MLOps, CI/CD pipelines, and model deployment strategies.
  • Proven track record of delivering high-impact AI projects.

Required Skills

Machine Learning Python PyTorch TensorFlow MLOps AWS Kubernetes Distributed Systems

Ready to Take This Challenge?

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