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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to architect the future? Nexus Future Labs is seeking a visionary Senior AI Systems Architect to spearhead our Project 2026 initiative. We are building the infrastructure that will define the next decade of human-machine interaction. You will be at the forefront of generative AI, quantum integration, and autonomous systems, working with a world-class team to solve humanity's most complex challenges.

Responsibilities

  • Lead the architectural design and implementation of scalable AI infrastructure for Project 2026, ensuring high availability and performance at scale.
  • Design and optimize deep learning models, focusing on large language models (LLMs) and neural architecture search.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate strategic goals into technical roadmaps.
  • Establish best practices for AI ethics, data governance, and model deployment pipelines.
  • Mentor junior and mid-level engineers, fostering a culture of innovation and continuous learning.
  • Conduct rigorous code reviews and system architecture audits to ensure security and efficiency.
  • Stay ahead of emerging technologies in AI and compute, driving innovation within the organization.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tooling (Kubernetes, Docker, MLflow).
  • Proven track record of deploying production-grade AI systems handling petabyte-scale data.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and edge computing.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is strongly preferred.
  • Experience with quantum computing interfaces or neuromorphic hardware is a significant plus.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Cloud Architecture Kubernetes AWS AI Ethics

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