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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Horizon)

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to architect the future? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our 2026 Horizon initiative. In this pivotal role, you will define the infrastructure and strategic direction for our next-generation artificial intelligence systems. We are not just building software; we are engineering the reality of 2026.

As a key member of our elite technical team, you will bridge the gap between theoretical AI research and scalable production environments. You will work in a fast-paced, high-performance culture that rewards innovation, technical excellence, and strategic foresight. If you have a passion for solving complex problems and a drive to shape the technological landscape of the coming decade, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI infrastructure that will define the industry standard.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with a state-of-the-art office in San Francisco.
  • Access to the latest hardware and research tools.

Responsibilities

  • Design and deploy scalable, fault-tolerant AI infrastructure for the 2026 roadmap.
  • Lead the architecture and implementation of machine learning pipelines and data lakes.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Optimize system performance and ensure high availability of critical AI services.
  • Stay ahead of industry trends in AI, cloud computing, and edge processing.
  • Establish best practices for code quality, security, and scalability.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading large-scale distributed systems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture TensorFlow Docker Kubernetes AWS System Design Leadership

Ready to Take This Challenge?

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