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Information Technology 🏢 Full Time ⭐️ Verified

2026-Ready Senior AI Architect

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

Job Description

The Opportunity

Nexus Future Systems is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Architect to lead our roadmap for 2026 and beyond. In this pivotal role, you will define the technical strategy for scalable, autonomous systems and guide a team of engineers in building the future of intelligent software.

You will work at the intersection of deep learning, cloud architecture, and scalable software engineering to solve complex problems that define the industry standard for the coming decade.

Why Join Us?

  • Work on cutting-edge AI infrastructure projects.
  • Competitive salary and equity package.
  • Remote-first culture with flexible hours.
  • Opportunity to shape the company's 2026 technical vision.

Responsibilities

  • Architect and design the high-level system infrastructure for 2026 AI roadmaps, ensuring scalability and resilience.
  • Lead the development and deployment of advanced machine learning models and deep neural networks.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Define technical standards, coding best practices, and architecture patterns for the engineering team.
  • Perform code reviews and mentor junior developers and data scientists.
  • Identify emerging technologies and evaluate their potential to enhance our product capabilities.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture and leadership.
  • Deep proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with distributed systems, microservices architecture, and high-availability solutions.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow AWS Kubernetes Machine Learning Deep Learning Cloud Architecture Microservices Docker

Ready to Take This Challenge?

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