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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the digital infrastructure of the year 2026? Nexus Horizon Technologies is seeking a visionary Senior AI Systems Architect to lead our cutting-edge artificial intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical machine learning research and scalable production systems, ensuring our platforms remain at the forefront of the industry.

As part of our elite engineering team, you will define the architectural standards for our next-generation AI models, driving innovation in natural language processing and predictive analytics. We offer a competitive benefits package, remote-first flexibility, and the opportunity to shape the future of tech.

Responsibilities

  • Design and implement robust, scalable AI infrastructure capable of handling billions of data points in real-time.
  • Lead architectural strategy for the deployment of Large Language Models (LLMs) and generative AI tools.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing machine learning pipelines to reduce latency and improve inference speeds.
  • Establish best practices for code quality, security, and deployment automation.
  • Conduct code reviews and mentor junior and mid-level engineers to foster a culture of technical excellence.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML infrastructure or systems architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native technologies (AWS, GCP, or Azure).
  • Proven track record of designing high-availability systems and implementing CI/CD pipelines.
  • Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field is highly preferred.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker System Design Machine Learning Distributed Systems

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