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Senior AI Systems Architect (2026 Horizon)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the infrastructure for tomorrow. Nexus Horizon Solutions is seeking a visionary Senior AI Systems Architect to spearhead our initiatives for the 2026 operational landscape. In this pivotal role, you will design and deploy scalable, high-performance AI ecosystems that redefine industry standards.

You will be responsible for bridging the gap between theoretical AI research and robust, production-ready engineering. If you possess a deep understanding of machine learning architecture and a passion for shaping the future of technology, we want to hear from you.

Responsibilities

  • Architect and implement next-generation AI infrastructures aligned with 2026 technological standards.
  • Design multi-modal LLM systems optimized for low-latency, high-throughput environments.
  • Lead the technical roadmap, ensuring scalability and security across distributed networks.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation.
  • Oversee the integration of quantum-ready algorithms into legacy frameworks.
  • Establish best practices for ethical AI governance and compliance.
  • Collaborate with product leadership to translate strategic vision into technical execution.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Expert proficiency in Python, C++, and distributed systems.
  • Extensive experience with cloud platforms (AWS, GCP) and containerization (Kubernetes, Docker).
  • Deep knowledge of deep learning frameworks (TensorFlow, PyTorch) and MLOps pipelines.
  • Proven ability to lead cross-functional teams in high-pressure, fast-paced environments.

Required Skills

Python Machine Learning System Architecture Kubernetes AWS PyTorch Deep Learning Leadership

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