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Information Technology 🏢 Full Time ⭐️ Verified

Senior 2026 AI Infrastructure Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the digital foundation of the future? Nexus Future Labs is seeking a visionary Senior 2026 AI Infrastructure Architect to spearhead the development of next-generation intelligent systems.

In this pivotal role, you will design and maintain the high-performance computing environments necessary to support our advanced AI models. You will bridge the gap between theoretical AI capabilities and scalable, production-ready infrastructure, ensuring our platforms remain at the cutting edge of technology.

What You'll Do:

  • Lead the architectural design of scalable cloud-native infrastructure optimized for the year 2026 and beyond.
  • Implement robust DevOps practices to automate deployment, scaling, and monitoring of AI workloads.
  • Collaborate with data scientists to ensure seamless integration of machine learning models into production pipelines.
  • Ensure data sovereignty, security, and compliance across all global infrastructure nodes.
  • Drive innovation in edge computing and distributed systems to support low-latency AI applications.
  • Guide a team of junior engineers in best practices for system reliability and scalability.

Responsibilities

  • Design and oversee the implementation of fault-tolerant systems capable of handling petabyte-scale data processing.
  • Optimize database architecture for high-velocity transaction processing and AI training workloads.
  • Develop and maintain CI/CD pipelines to accelerate software delivery cycles.
  • Conduct regular security audits and vulnerability assessments to protect proprietary algorithms.
  • Define technical standards and coding guidelines for the engineering department.
  • Act as the primary point of contact for technical stakeholders during system migrations and upgrades.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI infrastructure or MLOps.
  • Expert proficiency in Python, TensorFlow, PyTorch, and containerization technologies (Docker, Kubernetes).
  • Deep knowledge of major cloud providers (AWS, Azure, or GCP) and serverless architectures.
  • Strong understanding of network protocols, distributed systems theory, and high-availability patterns.
  • Experience with quantum computing frameworks or neural network optimization is highly preferred.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python Kubernetes AWS MLOps System Design Docker TensorFlow Cloud Architecture Machine Learning

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