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Senior AI Architect (Project 2026) - San Francisco

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Nexus Horizon Labs is pioneering the next generation of intelligent systems. We are seeking a visionary Senior AI Architect to lead Project 2026, a groundbreaking initiative designed to redefine the boundaries of artificial general intelligence and scalable autonomy.

In this pivotal role, you will be at the forefront of technological innovation, bridging the gap between theoretical research and production-grade infrastructure. You will define the architectural vision that will power our platforms for years to come, ensuring performance, scalability, and ethical AI standards.

Responsibilities

  • Architectural Leadership: Design and implement the core infrastructure for Project 2026, ensuring high availability, fault tolerance, and scalability.
  • Research Integration: Translate cutting-edge research papers into robust, production-ready machine learning pipelines and models.
  • System Optimization: Oversee the optimization of deep learning frameworks and large language model deployments to reduce latency and computational costs.
  • Technical Strategy: Define technical roadmaps and best practices for the AI engineering team, driving innovation across the organization.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to align technical solutions with business goals.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior architects and engineers.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering with a strong focus on machine learning systems architecture.
  • Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Cloud & Infrastructure: Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-stakes environments.
  • Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.

Required Skills

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

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