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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the intelligent infrastructure for 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the design and deployment of next-generation Generative AI and Agentic Systems.

In this pivotal role, you will architect scalable machine learning ecosystems that push the boundaries of what is possible today. You will work at the intersection of cutting-edge research and robust engineering, ensuring our AI solutions are not only revolutionary but also secure, efficient, and production-ready.

Join us in shaping the future of technology and defining the standards of AI architecture for the coming decade.

Responsibilities

  • Architect Future-Ready AI Systems: Design and implement scalable machine learning pipelines and LLM-based agents designed to handle the complexity of 2026 enterprise needs.
  • Lead Technical Innovation: Drive the adoption of emerging AI paradigms, including multi-agent workflows and autonomous decision-making systems.
  • Optimize Performance: Continuously refine model architectures to improve inference speed, reduce latency, and minimize operational costs.
  • Security & Compliance: Implement rigorous security protocols to ensure data privacy and mitigate AI-specific risks (e.g., adversarial attacks, hallucinations).
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and data scientists.

Qualifications

  • Experience: 7+ years of experience in software engineering with a strong focus on Artificial Intelligence and Machine Learning.
  • Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tooling (Docker, Kubernetes, MLflow).
  • Frameworks: Expert-level knowledge of Transformer architectures, RAG (Retrieval-Augmented Generation), and LLM fine-tuning.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Problem Solving: Demonstrated ability to solve complex technical challenges in high-scale distributed environments.

Required Skills

Python PyTorch Machine Learning MLOps AI Architecture Docker Kubernetes LLM Generative AI Deep Learning

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