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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Tech Roadmap | San Francisco, CA

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

Job Description

We are on a mission to build the technological backbone for the year 2026. At Nexus Future Systems, we don't just predict the future; we engineer it. We are looking for a visionary Senior AI Architect to lead our cutting-edge initiatives in scalable machine learning infrastructure and next-generation data processing.

In this pivotal role, you will bridge the gap between theoretical AI capabilities and practical, high-performance engineering solutions. You will define the architectural standards that will power our products for the next decade, ensuring scalability, security, and efficiency in a rapidly evolving landscape.

Responsibilities

  • Architect and design robust, scalable AI systems tailored for the 2026 technological landscape.
  • Lead the migration and optimization of legacy infrastructure to cloud-native environments using Kubernetes and Docker.
  • Define and implement best practices for AI model deployment, monitoring, and MLOps pipelines.
  • Collaborate with cross-functional teams of data scientists and software engineers to drive innovation.
  • Conduct deep-dive code reviews and technical architecture reviews to ensure code quality and system integrity.
  • Stay ahead of emerging trends in Generative AI, Neural Networks, and Edge Computing to guide product strategy.

Qualifications

  • Master’s degree in Computer Science, AI, or a related technical field (or equivalent experience).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven experience designing systems for high availability and low latency in production environments.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Familiarity with 2026-era data standards, privacy regulations, and ethical AI frameworks.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS MLOps Machine Learning AI Architecture Cloud Computing

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