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Senior AI Architect (2026 Cohort) - Remote US

Nexus Future Systems
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the 2026 AI revolution. Nexus Future Systems is building the infrastructure that will define the next decade of human-machine collaboration. We are looking for a visionary Senior AI Architect to lead our research and engineering division, focusing on scalable Generative AI and Agentic workflows.

In this role, you will not just write code; you will architect the future. You will work with a team of world-class researchers and engineers to deploy state-of-the-art models that power our core products. This is a unique opportunity to shape the roadmap for 2026 and beyond.

Why Join Us?

  • Competitive salary and equity package.
  • Work with cutting-edge LLMs and Neural Networks.
  • Remote-first culture with flexible working hours.
  • Opportunity to define the AI standards of the future.

Key Objectives:

  • Design and implement scalable machine learning pipelines.
  • Optimize model inference for low-latency applications.
  • Collaborate with product teams to translate complex AI concepts into user-friendly features.

Responsibilities

  • Lead the architecture of our next-generation Large Language Models (LLMs) and multimodal systems.
  • Design and optimize deep learning infrastructure to handle petabytes of data efficiently.
  • Research and prototype novel algorithms to improve model accuracy and efficiency.
  • Oversee the deployment of AI models in production environments using cloud-native technologies.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • Stay ahead of industry trends, specifically regarding AI advancements relevant to 2026.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, transformers, and generative AI architectures.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading technical projects from conception to deployment.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS GCP Docker Kubernetes Generative AI LLM Agentic AI

Ready to Take This Challenge?

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