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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

Quantum Future Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of technology?

Quantum Future Inc. is pioneering the digital landscape for the year 2026 and beyond. We are seeking a visionary 2026 AI Infrastructure Architect to design the resilient, scalable, and high-performance systems that will power the next generation of artificial intelligence. If you are passionate about pushing the boundaries of what's possible and thrive in a fast-paced, innovative environment, we want to meet you.

As a key member of our Core Engineering team, you will be responsible for the architectural integrity of our AI ecosystems, ensuring they are robust, secure, and ready to scale.

Responsibilities

  • Architect Next-Gen Systems: Design and implement resilient, scalable infrastructure tailored for 2026 AI workloads, leveraging cutting-edge cloud technologies.
  • Performance Optimization: Spearhead initiatives to optimize latency, throughput, and resource utilization for massive data processing tasks.
  • Security & Compliance: Oversee the security posture of our infrastructure, ensuring full compliance with industry standards and data privacy regulations.
  • Disaster Recovery: Develop and maintain robust disaster recovery plans to ensure business continuity and data integrity.
  • Team Leadership: Mentor junior engineers and collaborate with data scientists to translate business requirements into technical solutions.
  • Cost Management: Implement strategies to optimize cloud spending and infrastructure costs without compromising performance.

Qualifications

  • Experience: 5+ years of experience in infrastructure engineering, cloud architecture, or DevOps.
  • Technologies: Deep expertise in Kubernetes, Docker, Python, and major cloud providers (AWS, GCP, or Azure).
  • AI Focus: Strong understanding of AI/ML infrastructure requirements, including GPU clusters and model serving frameworks.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).
  • Soft Skills: Exceptional problem-solving skills, strong communication abilities, and a passion for innovation.
  • Future-Ready Mindset: Proven ability to adapt to rapidly changing technologies and anticipate future industry trends.

Required Skills

Artificial Intelligence Machine Learning Infrastructure Cloud Computing Kubernetes Docker Python AWS System Architecture DevOps

Ready to Take This Challenge?

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