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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future-Ready AI Architect

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

Job Description

Are you ready to architect the future of technology? Nexus Horizon Labs is seeking a visionary Senior Future-Ready AI Architect to lead our strategic initiatives for the 2026 roadmap. In this role, you will define the architectural standards for next-gen artificial intelligence systems that will define the technological landscape of 2026 and beyond. We are not just building software; we are engineering the foundation for the next era of human-machine collaboration.

Responsibilities

  • Define and execute the architectural vision for Nexus Horizon Labs' 2026 technology stack, focusing on scalable and sustainable AI infrastructure.
  • Lead research and development into emerging technologies, including quantum-ready algorithms and edge computing integration.
  • Architect end-to-end AI solutions that drive business value and operational efficiency for our enterprise clients.
  • Collaborate with cross-functional teams—including product managers, data scientists, and engineers—to translate business requirements into technical blueprints.
  • Establish best practices for code quality, security, and AI ethics to ensure robust and responsible deployment.
  • Mentor and coach junior architects and engineering teams to foster a culture of innovation and continuous learning.
  • Monitor industry trends to ensure our systems remain future-proof against evolving threats and technological shifts.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML system design.
  • Deep proficiency in programming languages such as Python, Java, or C++.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of neural networks, deep learning frameworks (TensorFlow, PyTorch), and big data processing (Spark, Hadoop).
  • Proven track record of leading high-performance engineering teams and delivering complex projects on time.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

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

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