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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon Initiative

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are at the forefront of the 2026 technological revolution, building the infrastructure that will define the next decade of human-computer interaction. As a Senior AI Architect at Nexus Horizon, you will spearhead the development of our next-generation machine learning systems. This is not just a job; it is a chance to shape the future of AI in 2026 and beyond.

Our 2026 initiative focuses on creating autonomous, ethical, and scalable AI solutions that integrate seamlessly into complex enterprise ecosystems. You will be responsible for the architectural vision, guiding a team of brilliant engineers to deliver products that set new industry standards. If you are driven by complexity and innovation, this is your opportunity to lead.

Responsibilities

  • Define the architectural roadmap for the 2026 AI product suite, ensuring scalability and resilience.
  • Design and implement advanced deep learning models and neural networks for high-volume data processing.
  • Lead the migration of legacy systems to modern, cloud-native AI infrastructure.
  • Collaborate with product managers to translate 2026 strategic goals into technical blueprints.
  • Establish and enforce rigorous MLOps (Machine Learning Operations) standards and governance policies.
  • Mentor senior and junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Conduct code reviews and technical architecture reviews to ensure code quality and system integrity.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven experience designing systems for production environments with high availability.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with large language models (LLMs) and generative AI technologies is highly preferred.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS System Design Kubernetes LLMs

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