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Information Technology 🏒 Full Time ⭐️ Verified

AI Systems Architect - 2026 Visionary

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

Job Description

Nexus Future Labs is pioneering the technological landscape for 2026. We are looking for a Senior AI Systems Architect to design and deploy next-generation neural networks that will define the future of human-machine interaction.

In this role, you will not just maintain existing systems; you will architect the infrastructure that supports our breakthrough AI initiatives. If you are passionate about scalability, machine learning, and shaping the roadmap for the next decade, this is your opportunity to lead.

Why Join Us?

  • Impact: Work on cutting-edge AI projects with global implications.
  • Growth: Clear path to executive leadership within a scaling startup.
  • Equity: Significant ownership stake in the company's success.
  • Perks: Fully remote-first culture with flexible hours and top-tier equipment.

Responsibilities

  • Architect scalable machine learning pipelines capable of processing real-time data at petabyte scale.
  • Lead the technical roadmap and strategy for 2026 AI infrastructure initiatives.
  • Optimize existing model performance for edge computing environments and mobile integration.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Ensure system reliability, security, and compliance with global data privacy regulations.
  • Mentor a team of talented software engineers and conduct rigorous code reviews.
  • Stay abreast of the latest advancements in AI research to integrate cutting-edge methodologies.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 5+ years of professional experience designing large-scale distributed systems and AI infrastructure.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of deep learning architectures and natural language processing (NLP).
  • Proven track record of leading cross-functional teams through the full software development lifecycle.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python TensorFlow AWS Machine Learning System Architecture Kubernetes Docker NLP Deep Learning

Ready to Take This Challenge?

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