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Information Technology 🏒 Full Time ⭐️ Verified

Senior Future Tech Architect (2026 Roadmap)

Horizon Systems
Seattle
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior Future Tech Architect to lead our strategic roadmap towards 2026. In this pivotal role, you will define the technological landscape for the next decade, ensuring our infrastructure is scalable, resilient, and ready for the innovations of the future. You will bridge the gap between high-level business strategy and deep technical execution, driving the adoption of emerging technologies such as Generative AI, Spatial Computing, and Edge Networks. Join us in shaping the digital infrastructure of tomorrow.

Responsibilities

  • Lead the architectural vision and technical strategy for the 2026 roadmap, ensuring alignment with business goals.
  • Design and oversee the implementation of scalable, high-performance cloud-native infrastructure using AWS and Azure.
  • Drive the integration of cutting-edge AI/ML models into core production systems to enhance efficiency and user experience.
  • Evaluate and prototype emerging technologies (e.g., Quantum computing, Web3) to determine feasibility for future deployment.
  • Mentor a team of senior engineers and architects, fostering a culture of continuous innovation and technical excellence.
  • Ensure enterprise security, compliance, and data privacy standards are met across all architectural initiatives.
  • Collaborate with product and engineering leadership to define technical debt reduction and modernization strategies.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
  • Deep expertise in cloud architecture (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Strong proficiency in programming languages such as Python, Go, or Java.
  • Proven track record of leading large-scale system migrations and modernization initiatives.
  • Experience implementing AI/ML solutions in production environments.
  • Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

AWS Azure Kubernetes Docker Python Go Java AI/ML Cloud Architecture System Design Leadership

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