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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (Project 2026)

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

Job Description

Are you ready to shape the future? Nexus Future Systems is currently recruiting a visionary Senior AI Architect (Project 2026) to spearhead the next generation of artificial intelligence infrastructure. In this pivotal role, you will design scalable, secure, and high-performance systems that will power our flagship initiative for the year 2026.

As a key player in Project 2026, you will bridge the gap between theoretical AI research and production-grade engineering. We are looking for someone who thrives in ambiguity and possesses the technical depth to build systems that are not just functional, but revolutionary.

Responsibilities

  • Architectural Leadership: Design and implement a robust distributed computing architecture for the Project 2026 AI ecosystem, ensuring 99.99% uptime and scalability.
  • Performance Optimization: Analyze and optimize deep learning models for inference speed and resource efficiency on cloud-native platforms.
  • Infrastructure as Code: Develop and maintain Terraform modules and CI/CD pipelines to automate deployment across global data centers.
  • Security & Compliance: Implement zero-trust security protocols and ensure adherence to industry standards for data privacy and AI ethics.
  • Cross-Functional Collaboration: Work closely with data scientists, quantum researchers, and product managers to translate complex requirements into technical specifications.

Qualifications

  • Experience: Minimum of 8 years of software engineering experience, with at least 5 years specifically focused on AI infrastructure or large-scale distributed systems.
  • Technical Stack: Proficiency in Python, Go, or C++; extensive experience with Kubernetes, Docker, and AWS or GCP.
  • AI Expertise: Deep understanding of machine learning frameworks (TensorFlow, PyTorch) and model serving architectures.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Soft Skills: Exceptional problem-solving abilities and the communication skills to mentor junior engineers and articulate technical vision to non-technical stakeholders.

Required Skills

Python Kubernetes AWS Machine Learning Infrastructure as Code Terraform Go Cloud Architecture AI Ethics

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