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Information Technology 🏢 Full Time ⭐️ Verified

AI Architect - 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are not merely building software; we are engineering the future of humanity. Nexus Horizon Labs is seeking a visionary AI Architect to lead our strategic roadmap toward 2026 and beyond. In this high-impact role, you will define the architectural DNA of our next-generation intelligent systems, ensuring scalability, ethical AI integration, and cutting-edge performance.


As we approach a new era of technological evolution, your work will shape how industries interact with autonomous agents and predictive analytics. Join a team of elite engineers committed to solving humanity's grandest challenges through code.

Responsibilities

  • Architect the Future: Define and execute the long-term technical strategy and infrastructure roadmap for our 2026 products.
  • System Design: Design scalable, fault-tolerant AI architectures capable of handling petabyte-scale data streams.
  • Model Integration: Lead the integration of advanced Large Language Models (LLMs) into production environments.
  • Technical Leadership: Mentor senior engineers and architects, fostering a culture of innovation and best practices.
  • Risk Management: Identify technical debt and potential security vulnerabilities in AI systems early in the development lifecycle.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate business requirements into robust technical solutions.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).
  • Programming: Deep expertise in Python, C++, and Rust.
  • Frameworks: Proficiency in TensorFlow, PyTorch, or JAX.
  • Cloud Mastery: Extensive experience designing solutions on AWS or Google Cloud Platform (GCP).
  • Problem Solving: Proven ability to solve complex, ambiguous technical problems with creative engineering solutions.

Required Skills

Python Machine Learning System Design Cloud Computing AWS TensorFlow PyTorch AI Architecture Large Language Models Leadership

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