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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | Shaping the Future of 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are at the precipice of a technological revolution. As we look toward 2026, the integration of autonomous AI agents and advanced generative models will redefine the digital landscape. Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our next-generation infrastructure.

In this pivotal role, you will architect the foundational systems that will power the autonomous economy of tomorrow. You will bridge the gap between theoretical machine learning research and production-grade deployment, ensuring our solutions are scalable, efficient, and ethically aligned.

Join us in defining the roadmap for intelligent systems that will operate seamlessly by the turn of the decade.

Responsibilities

  • Designing Autonomous Architectures: Architect scalable, fault-tolerant systems for autonomous AI agents and multi-agent orchestration frameworks.
  • LLM Optimization: Lead the optimization of Large Language Models (LLMs) for inference speed and cost-efficiency in 2026 workloads.
  • System Integration: Integrate diverse data sources and modalities (text, vision, audio) into unified AI pipelines.
  • Technical Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Roadmap Planning: Define the technical strategy and architecture for our upcoming 2026 product releases.
  • Security & Compliance: Implement rigorous security protocols and ensure AI systems adhere to emerging global regulations.

Qualifications

  • Advanced Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Deep Learning Expertise: Proven experience building and deploying complex deep learning models, particularly in NLP and generative AI.
  • System Design: Strong background in distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
  • Programming Proficiency: Expert-level proficiency in Python, C++, or Rust.
  • MLOps Experience: Demonstrated experience with MLOps tools (Kubernetes, MLflow, Kubeflow) and CI/CD pipelines.
  • Future-Forward Mindset: Passionate about emerging technologies and the potential of AI in the 2026 landscape.

Required Skills

Python PyTorch TensorFlow NLP MLOps System Design Kubernetes Generative AI LLMs Cloud Architecture

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