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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect: 2026 Strategic Lead

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are not just building software for today; we are architecting the foundation for 2026 and beyond. At Nexus Horizon Systems, we are defining the next generation of intelligent infrastructure. We are seeking a visionary Future Tech Architect to lead our strategic roadmap, ensuring our solutions are future-proof, scalable, and revolutionary.

In this role, you will bridge the gap between emerging AI paradigms and practical enterprise deployment. You will have the autonomy to steer our technical direction, influence our engineering culture, and set the standard for what is possible in the upcoming years. If you thrive on ambiguity and have a passion for shaping the technological landscape, this is your moment.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic vision for our technology stack, identifying emerging trends and integrating them into our long-term planning.
  • Architectural Leadership: Design scalable, high-performance systems that can handle the demands of next-gen AI applications and data processing.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineering teams to translate business goals into technical blueprints.
  • Talent Development: Mentor senior engineers and architects, fostering a culture of innovation and continuous learning.
  • Vendor & Technology Assessment: Evaluate new technologies, frameworks, and partnerships to ensure we stay ahead of the curve.
  • Risk Management: Identify potential technical debt and architectural risks before they impact the product.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years in a senior leadership or strategic planning role.
  • Tech Stack: Deep expertise in cloud-native architectures (AWS/Azure/GCP), microservices, and containerization (Kubernetes/Docker).
  • AI & ML Knowledge: Strong understanding of Artificial Intelligence, Machine Learning pipelines, and generative model integration.
  • Strategic Vision: Proven track record of identifying and executing on long-term technical roadmaps.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.

Required Skills

AI Architecture Cloud Computing Strategic Planning Kubernetes Microservices Machine Learning System Design

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