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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Readiness

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

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technical infrastructure for our 2026 roadmap. As a leader in next-generation intelligent systems, Nexus Horizon is building the future of human-machine collaboration. In this pivotal role, you will define the architectural strategy for scalable AI models, ensuring our platforms remain at the forefront of the industry.

Your expertise will bridge the gap between theoretical AI research and production-grade engineering. You will lead a high-performing team of engineers, establishing best practices for model training, deployment, and ethical AI governance.

What you will do:

  • Architect Scalable Systems: Design and implement robust machine learning pipelines capable of handling exabyte-scale data.
  • Lead 2026 Strategy: Translate business goals into technical roadmaps, defining the core technologies we will adopt for the future.
  • Model Optimization: Drive initiatives to improve model accuracy, reduce latency, and enhance energy efficiency in large-scale deployments.
  • Technical Mentorship: Mentor junior and mid-level engineers, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Work closely with product managers and data scientists to align technical capabilities with market needs.

Responsibilities

  • Lead the end-to-end architecture of AI and machine learning systems.
  • Define and enforce coding standards and architectural patterns for the engineering team.
  • Conduct deep-dive technical reviews to ensure system integrity and scalability.
  • Research emerging technologies (e.g., Generative AI, Quantum Computing applications) to evaluate feasibility.
  • Manage technical risks and resolve complex engineering challenges.
  • Qualifications

  • Master’s or PhD in Computer Science, Data Science, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Kubernetes.
  • Strong experience with cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading engineering teams and managing large-scale projects.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Required Skills

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

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