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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future-Ready AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior Future-Ready AI Architect to lead our 2026 strategic technology roadmap. In this pivotal role, you will define the architectural framework for next-generation artificial intelligence, ensuring our solutions are scalable, ethical, and positioned to lead the market in the coming years.

Why Join Nexus Horizon?

  • Shape the trajectory of technology with high-impact projects.
  • Competitive compensation and equity package.
  • Flexible hybrid work environment in the heart of the tech hub.
  • Access to state-of-the-art research labs and resources.

Responsibilities

  • Define the 2026 Tech Stack: Lead the strategic planning and implementation of the 2026 technology roadmap, integrating Generative AI, Edge Computing, and Quantum-ready infrastructure.
  • Design Scalable Systems: Architect high-performance distributed systems that leverage the latest advancements in Machine Learning and Data Science.
  • Technical Governance: Establish architectural standards and best practices to ensure code quality, system reliability, and operational efficiency.
  • Lead Innovation: Spearhead the research and adoption of emerging technologies to maintain a competitive edge in the industry.
  • Cross-Functional Leadership: Collaborate closely with product managers, engineers, and stakeholders to translate business objectives into technical roadmaps.
  • Security & Ethics: Implement robust security protocols and ensure all AI initiatives comply with global privacy and ethical standards.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure or enterprise system design.
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, Kubernetes, and major cloud platforms (AWS, GCP, or Azure).
  • Strategic Foresight: Proven track record of anticipating technological trends and successfully implementing forward-looking solutions.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS GCP Azure Machine Learning Generative AI System Architecture Cloud Computing DevOps

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