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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect | 2026 Horizon Initiative | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the infrastructure for the year 2026. Join Nexus Future Labs as a visionary AI Architect and lead the strategic design of next-generation artificial intelligence systems. Our 2026 Horizon Initiative is focused on solving complex, long-term challenges in autonomous systems, generative reasoning, and sustainable computing.

In this pivotal role, you will not just manage current tech stacks; you will architect scalable, resilient frameworks designed to thrive in the data-rich environment of 2026 and beyond. You will work at the intersection of machine learning, distributed systems, and product innovation to deliver intelligent solutions that redefine industry standards.

Why Join Us?
β€’ Work on mission-critical projects that define the future of technology.
β€’ Competitive equity package and performance bonuses.
β€’ Top-tier engineering team in the heart of Silicon Valley.

Responsibilities

  • Architect and design scalable AI systems specifically tailored for the 2026 computing landscape.
  • Lead the end-to-end development lifecycle of machine learning models, from research to production deployment.
  • Define and implement MLOps pipelines to ensure model reliability, security, and continuous improvement.
  • Collaborate with cross-functional product teams to translate complex 2026 roadmap requirements into technical specifications.
  • Research and integrate cutting-edge advancements in deep learning, NLP, and computer vision.
  • Mentor junior engineers and establish best practices for code quality and AI ethics.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Proven track record of deploying large-scale ML models in production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/K8s).
  • Exceptional problem-solving skills and the ability to navigate ambiguity in long-term projects.

Required Skills

Python Machine Learning Deep Learning System Architecture MLOps TensorFlow PyTorch NLP Generative AI Cloud Computing Docker Kubernetes AWS Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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