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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Vision)

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

Job Description

Are you ready to architect the future of intelligence?

Nexus Future Labs is pioneering the next generation of digital ecosystems. We are seeking a visionary Senior AI Infrastructure Architect to lead our 2026 roadmap, designing resilient systems that are not just scalable, but revolutionary. If you have a passion for pushing the boundaries of what is possible in machine learning and distributed computing, we want to meet you.

Why Join Us?

• Shape the infrastructure for the year 2026 and beyond.
• Work with cutting-edge AI and quantum-ready technologies.
• Competitive compensation and equity package.
• Collaborative, high-performance engineering culture.

Responsibilities

  • Design and deploy resilient, high-performance AI infrastructure tailored for 2026 workloads, including next-gen neural networks.
  • Lead the architecture of scalable machine learning pipelines across hybrid cloud environments (AWS/GCP/Azure).
  • Optimize deep learning models for edge computing and real-time latency reduction.
  • Collaborate with cross-functional teams to integrate AI solutions into core consumer products.
  • Establish best practices for data governance, model security, and ethical AI usage.
  • Conduct architectural reviews to ensure long-term scalability, cost-efficiency, and fault tolerance.
  • Drive the migration of legacy systems to modern containerized architectures.

Qualifications

  • 7+ years of experience in software engineering, machine learning operations (MLOps), or cloud architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems design.
  • Strong proficiency in AWS, GCP, or Azure with a specific focus on AI/ML services and serverless computing.
  • Experience with Kubernetes, Docker, and microservices architecture in production environments.
  • Proven track record of deploying complex ML models at scale with high availability.
  • Excellent problem-solving skills and ability to mentor junior engineers and data scientists.
  • Experience with quantum computing concepts or edge AI deployment is a plus.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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