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Senior AI Architect: Project 2026 | San Francisco, CA

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Horizon Labs and become a pivotal architect in the Project 2026 initiative. We are building the technological foundation for the next decade, focusing on advanced autonomous agents and predictive ecosystem integration. This is not just a job; it is a mission to redefine the boundaries of artificial intelligence.

As a Senior AI Architect, you will design scalable, fault-tolerant systems that push the limits of what is currently possible in generative AI and deep learning. You will lead a world-class team in crafting algorithms that drive our core products, ensuring they are secure, ethical, and performant at scale.

Responsibilities

  • Lead the architectural design and implementation of the Project 2026 AI infrastructure, ensuring high availability and scalability.
  • Define the technical vision for our machine learning pipelines, overseeing the migration from legacy systems to modern, cloud-native architectures.
  • Collaborate with product managers and engineers to translate complex business requirements into robust technical solutions.
  • Optimize neural network models for production environments, focusing on latency reduction and inference efficiency.
  • Mentor and coach mid-level and junior engineers, fostering a culture of continuous learning and innovation.
  • Ensure all AI systems adhere to strict data privacy and ethical AI guidelines.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of experience in software engineering and machine learning architecture.
  • Extensive hands-on experience with Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Demonstrated experience in leading cross-functional teams and managing large-scale technical projects.
  • Deep understanding of MLOps, data governance, and model deployment strategies.

Required Skills

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

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