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Lead AI Architect (2026 Vision)

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

Job Description

We are building the future of intelligence. Nexus Horizon Systems is seeking a visionary Lead AI Architect to define the technical roadmap for our 2026 and beyond initiatives. You will be responsible for architecting scalable, fault-tolerant systems that integrate cutting-edge Large Language Models (LLMs) with proprietary data pipelines.

Our Mission

Our goal is to democratize access to advanced artificial general intelligence. As an architect, you will bridge the gap between theoretical research and production-grade software engineering, ensuring our systems are robust, secure, and ready for the next decade of growth.

Responsibilities

  • Design and implement scalable architecture for high-volume AI inference and training workloads.
  • Lead the migration of legacy systems to modern, containerized microservices.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to define AI-driven features and roadmap priorities.
  • Ensure data security, privacy compliance, and ethical AI usage across all platforms.
  • Optimize model performance and reduce latency in real-time applications.
  • Stay ahead of industry trends in Generative AI, Quantum Computing, and Edge AI.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
  • Strong background in distributed systems, cloud infrastructure (AWS/Azure/GCP), and Kubernetes.
  • Experience designing real-time streaming data pipelines (Kafka, Apache Spark).
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Proven track record of leading engineering teams through complex technical challenges.
  • Excellent communication skills with the ability to translate technical concepts to business stakeholders.

Required Skills

Python Machine Learning AI Architecture System Design Kubernetes Cloud Computing Deep Learning TensorFlow Leadership

Ready to Take This Challenge?

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