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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Vision) | San Francisco

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI/ML Architect to lead our next-generation generative AI initiatives.

We are building the infrastructure for tomorrow. In this pivotal role, you will design scalable, secure, and high-performance machine learning systems that push the boundaries of what's possible. You won't just be maintaining existing models; you will architect the future.

Why join us?

  • Work on cutting-edge Generative AI and LLM technologies.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a SF hub.

Ready to shape the future? Apply today.

Responsibilities

  • Architectural Design: Design and implement scalable ML pipelines and cloud infrastructure (AWS/Azure) optimized for high-volume inference.
  • Model Innovation: Lead research and development in state-of-the-art AI models, focusing on efficiency and accuracy.
  • System Integration: Integrate AI capabilities into enterprise-level products, ensuring seamless user experiences.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Roadmap Planning: Define the technical roadmap for AI capabilities through 2026 and beyond.
  • Best Practices: Establish and enforce coding standards, security protocols, and MLOps practices.

Qualifications

  • Education: BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
  • Cloud Expertise: Deep understanding of cloud-native architecture and containerization (Docker/Kubernetes).
  • Generative AI: Experience with Large Language Models (LLMs) and fine-tuning strategies.
  • Problem Solving: Strong analytical skills with a proven track record of solving complex technical challenges.

Required Skills

AI Machine Learning Python PyTorch TensorFlow LLM Cloud Architecture MLOps Generative AI Kubernetes AWS Data Science

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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