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Senior AI Architect: Shaping the 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the Future of Intelligence

Nexus Horizon Labs is at the forefront of the autonomous intelligence revolution. As we define the technological landscape for 2026, we are seeking a visionary Senior AI Architect to architect the systems that will power the next decade of human-machine collaboration.

In this pivotal role, you won't just implement existing models; you will define the architectural paradigms for Agentic AI, Neuro-symbolic reasoning, and Edge-deep learning convergence. You will lead a team of elite engineers in building scalable, ethical, and high-performance AI infrastructures designed for the demands of tomorrow.

Responsibilities

  • Design and implement scalable AI architectures for autonomous agents and multimodal systems.
  • Lead research and development of proprietary Large Language Models (LLMs) and reinforcement learning strategies.
  • Optimize model inference latency and resource efficiency for cloud and edge environments.
  • Establish best practices for MLOps, model governance, and data privacy compliance.
  • Collaborate with product and engineering teams to translate the 2026 vision into concrete technical roadmaps.
  • Drive technical innovation in generative AI and synthetic data generation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tooling (Kubeflow, MLflow).
  • Proven track record of deploying production-grade LLMs or generative AI applications.
  • Strong understanding of system design principles, including distributed systems and microservices.

Required Skills

Python Machine Learning Deep Learning NLP MLOps LLMs PyTorch TensorFlow System Design Cloud Architecture

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