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Chief AI Architect | Nexus 2026

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Chief AI Architect to join Nexus 2026. As pioneers in the field of next-generation generative intelligence, we are building the infrastructure that will define the year 2026 and beyond. In this role, you will not only design scalable AI systems but also shape the ethical framework for the future of human-computer interaction.

Why Join Nexus 2026?

  • Work on cutting-edge Large Language Models (LLMs) and Autonomous Agents.
  • Competitive equity package and top-tier benefits.
  • Work in a collaborative, remote-first environment with headquarters in San Francisco.

If you are ready to architect the future, we want to hear from you.

Responsibilities

  • Define the high-level architecture for proprietary AI models, ensuring scalability and robustness.
  • Lead a team of senior engineers and data scientists in the research and deployment of Deep Learning solutions.
  • Collaborate with product managers to translate complex business requirements into technical roadmaps.
  • Oversee model training pipelines, optimization strategies, and MLOps implementation.
  • Establish best practices for AI ethics, bias mitigation, and data governance.
  • Stay ahead of industry trends and competitor innovations to maintain a technological edge.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven track record of deploying production-grade machine learning models.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong background in Natural Language Processing (NLP) and Deep Neural Networks.
  • Master's degree or PhD in Computer Science, Mathematics, or a related field.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes NLP Deep Learning Machine Learning MLOps System Design

Ready to Take This Challenge?

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