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Senior AI Architect (2026 Trajectory)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

About Nexus Future Labs

We are pioneering the next generation of artificial intelligence. As we accelerate toward the technological landscape of 2026, we are seeking a visionary Senior AI Architect to lead the architectural design of our neural networks and generative AI systems.

In this pivotal role, you will define the technical strategy for our AI infrastructure, ensuring our platforms remain scalable, secure, and at the bleeding edge of innovation. You will bridge the gap between theoretical research and production-grade engineering.

Why Join Us?

  • Shape the future of AI with cutting-edge projects in AGI and Neuromorphic Computing.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a premium tech stack.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and deep learning models optimized for high-volume inference.
  • Lead the technical roadmap for transitioning legacy systems to 2026-ready infrastructure, focusing on edge computing integration.
  • Collaborate cross-functionally with product managers, data engineers, and security experts to ensure robust AI governance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • Research and evaluate emerging technologies (e.g., multimodal transformers) to integrate into our core suite.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • 8+ years of professional experience in machine learning engineering, focusing on PyTorch, TensorFlow, or JAX.
  • Proven track record of designing production-grade AI systems.
  • Strong proficiency in distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with large language models (LLMs) and fine-tuning methodologies.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow MLOps Distributed Systems NLP AWS Kubernetes

Ready to Take This Challenge?

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