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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are pioneering the technological landscape for the year 2026. Nexus Future Systems is seeking a visionary Senior AI Infrastructure Architect to design the backbone of our next-generation autonomous systems. You will be responsible for architecting scalable, high-performance environments that support cutting-edge machine learning models. If you are passionate about building the future and thrive in a dynamic, high-stakes environment, we want to hear from you.

Why Join Us?

  • Work on mission-critical infrastructure for a global leader in AI.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first culture with premium office amenities in the heart of SF.
  • Access to the latest hardware and proprietary AI tooling.

Responsibilities

  • Design and implement resilient, scalable AI infrastructure architectures tailored for high-volume processing and low-latency requirements.
  • Lead the migration and optimization of existing systems to support future-proof AI workloads.
  • Collaborate with cross-functional teams of data scientists and engineers to define technical strategies and roadmaps.
  • Ensure system reliability, security, and compliance with industry standards (SOC2, GDPR).
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Conduct performance tuning and cost optimization of cloud resources to maximize ROI.

Qualifications

  • 10+ years of experience in software engineering, infrastructure architecture, or cloud computing.
  • Deep expertise in Python, Kubernetes, and AWS or Azure.
  • Strong background in Machine Learning operations (MLOps) and data pipeline architecture.
  • Experience with containerization technologies (Docker) and message queues (Kafka, RabbitMQ).
  • Proven track record of leading large-scale infrastructure projects from conception to deployment.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python AWS Kubernetes MLOps Machine Learning Cloud Architecture Docker Kafka

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