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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect - 2026 Roadmap

Apex Future Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the future of technology?

Apex Future Technologies is at the forefront of the 2026 AI revolution. We are seeking a visionary Senior AI Infrastructure Architect to lead our global infrastructure strategy. In this pivotal role, you will bridge the gap between cutting-edge machine learning models and robust, scalable backend systems. If you are passionate about building the foundation for tomorrow's AI applications, we want to meet you.

Why Join Us?

  • Impactful Work: Directly influence the 2026 technical roadmap for next-gen AI products.
  • Global Team: Collaborate with world-class engineers and researchers.
  • Competitive Compensation: Top-tier salary and equity package.

Responsibilities

  • Define and execute the technical architecture for our 2026 AI infrastructure roadmap, ensuring scalability and high availability.
  • Lead the design and deployment of scalable data pipelines and machine learning serving infrastructure.
  • Optimize cloud resources (AWS/GCP) to reduce latency and improve cost-efficiency for AI workloads.
  • Mentor a team of senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Collaborate with data science teams to translate research prototypes into production-ready systems.
  • Implement robust security and compliance frameworks for sensitive AI data.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a lead infrastructure or architecture role.
  • Deep expertise in Python, Go, or Rust, and experience with high-performance computing systems.
  • Strong proficiency in containerization (Docker/Kubernetes) and orchestration tools.
  • Proven track record of designing fault-tolerant, distributed systems handling massive data throughput.
  • Experience with MLOps platforms (MLflow, Kubeflow, TFX) and cloud-native AI services.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning Cloud Architecture Python Kubernetes Terraform System Design 2026 Roadmap MLOps Distributed Systems

Ready to Take This Challenge?

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