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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are on a mission to redefine the technological landscape of the future. Nexus Horizons is seeking a visionary Senior AI Architect to lead our engineering team in building the intelligent systems of 2026 and beyond.

In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable production systems. You will architect robust machine learning pipelines, drive innovation in generative models, and set the technical standards for our next-generation products.

If you are passionate about the future of AI and want to shape the trajectory of technology for the next decade, we want to hear from you.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the research and development of next-gen generative models and autonomous agents.
  • Collaborate with product and engineering teams to define the technical roadmap for 2026.
  • Establish best practices for data governance, model explainability, and ethical AI deployment.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.
  • Optimize existing models for speed, accuracy, and cost-efficiency in real-world environments.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in machine learning engineering, AI research, or software architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud-based ML services (AWS/GCP/Azure).
  • Proven track record of deploying production-level AI systems that impact millions of users.
  • Strong understanding of LLMs, NLP, and Reinforcement Learning.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python Machine Learning AI System Design PyTorch TensorFlow NLP Cloud Computing AWS GCP Ethics in AI

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