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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Lead

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary 2026 AI Infrastructure Lead to architect the next generation of scalable artificial intelligence systems. At Nexus Future Tech, we are not just building for today; we are defining the technological landscape for the coming decade. You will lead a world-class team in designing resilient, high-performance infrastructure that powers cutting-edge machine learning models.


In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are secure, scalable, and ready for the rapid evolution of 2026 and beyond.


Why Join Us?

  • Work on projects that define the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Architect and deploy scalable cloud-native infrastructure for large-scale AI models.
  • Lead the strategic roadmap for AI infrastructure evolution, focusing on 2026 readiness.
  • Optimize system performance, latency, and cost-efficiency for data-intensive workloads.
  • Implement robust security protocols and governance frameworks for sensitive AI data.
  • Mentor and grow a high-performing engineering team of infrastructure and ML specialists.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product offerings.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership role.
  • Deep expertise in Python, Go, or Rust, with proven experience building distributed systems.
  • Strong proficiency in Kubernetes, Docker, and major cloud providers (AWS, GCP, or Azure).
  • Experience with MLOps tools and large-scale data pipelines (Kafka, Spark, Airflow).
  • Excellent problem-solving skills and a passion for innovation in the AI space.

Required Skills

Python Go Kubernetes AWS Machine Learning MLOps Distributed Systems Cloud Architecture Leadership Scalability

Ready to Take This Challenge?

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