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Future AI Architect (2026 Vision) - San Francisco

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of Artificial Intelligence? Nexus Horizon Systems is seeking a visionary AI Infrastructure Architect to lead our mission for 2026. In this role, you will define the architectural roadmap for next-generation machine learning platforms, ensuring scalability, security, and performance at a global scale.

We are not just building for today; we are engineering for the next decade. You will work at the intersection of deep learning, cloud computing, and distributed systems to build the infrastructure that powers the AI revolution of 2026.

Responsibilities

  • Architect Scalable AI Systems: Design and implement robust, fault-tolerant infrastructure for large-scale machine learning models and data pipelines.
  • Cloud Strategy & Optimization: Lead the migration and optimization of workloads to AWS and Azure, ensuring cost-efficiency and high availability.
  • Performance Engineering: Optimize model inference latency and training throughput to support real-time AI applications.
  • Future-Proofing Roadmap: Conduct research and prototyping on emerging technologies (e.g., Quantum-ready AI, Edge Computing) to prepare our stack for 2026 and beyond.
  • Security & Compliance: Implement rigorous security protocols and data governance frameworks to protect sensitive training data and user privacy.
  • Cross-Functional Leadership: Collaborate with R&D teams, data scientists, and software engineers to translate technical requirements into architectural solutions.

Qualifications

  • Experience: 5+ years of experience in Software Engineering, DevOps, or Machine Learning Infrastructure.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Kubernetes, Docker, and Terraform.
  • Cloud Mastery: Deep expertise in AWS (EC2, S3, SageMaker, Lambda) or Azure AI services.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Problem Solving: Proven track record of solving complex distributed system challenges and optimizing large-scale data architectures.
  • Innovation: Passion for exploring bleeding-edge technologies and staying ahead of industry trends.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Azure Machine Learning Docker Terraform Distributed Systems AI Architecture

Ready to Take This Challenge?

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