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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Strategic Initiative

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

Job Description

Are you ready to define the technological landscape of 2026?

At Nexus Horizon, we are building the infrastructure for tomorrow's intelligent systems. As a Senior AI Architect, you won't just be maintaining models; you will be architecting the next generation of generative agents, autonomous decision-making frameworks, and multi-modal learning systems that will define the industry standard by 2026.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn complex theoretical concepts into production-ready, scalable solutions.

Responsibilities

  • Lead the architectural design and implementation of large-scale AI systems and neural networks.
  • Define the strategic roadmap for 2026 AI capabilities, focusing on Generative AI, Reinforcement Learning, and Autonomous Agents.
  • Collaborate with cross-functional teams to integrate AI models into real-time enterprise applications.
  • Optimize model inference performance and reduce latency in high-traffic environments.
  • Establish best practices for data governance, model security, and ethical AI deployment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Proven experience (5+ years) in designing and deploying machine learning systems at scale.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Large Language Models (LLMs), Transformers, and NLP architectures.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Strong background in distributed systems and high-performance computing.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design NLP MLOps AWS GCP

Ready to Take This Challenge?

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