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Senior Future Tech Architect

Orbital Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Orbital Innovations is pioneering the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior Future Tech Architect to lead our Research and Development division. In this pivotal role, you will be responsible for designing scalable, next-generation systems that bridge the gap between theoretical innovation and practical application. You will shape the roadmap for emerging technologies, including AI-driven automation, quantum-ready architecture, and sustainable digital ecosystems.

Join a team of elite engineers and strategists dedicated to defining the future of technology. You will work in a fast-paced, high-impact environment where your ideas will directly influence the global tech landscape.

Responsibilities

  • Architect and design robust technical solutions for the 2026 roadmap, focusing on scalability and future-proofing.
  • Lead cross-functional teams in the research and development of cutting-edge technologies like Neural Networks and Edge Computing.
  • Define and enforce high-level architectural standards and best practices across all engineering teams.
  • Collaborate with product leadership to translate futuristic concepts into executable engineering roadmaps.
  • Conduct feasibility studies and proof-of-concept implementations for emerging tech stacks.
  • Oversee the migration and integration of legacy systems into modern, cloud-native environments.
  • Present technical strategies and architectural decisions to executive stakeholders.

Qualifications

  • 10+ years of experience in software architecture, systems engineering, or a related technical field.
  • Deep expertise in Artificial Intelligence, Machine Learning frameworks, and predictive modeling.
  • Strong proficiency in cloud architecture (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Proven track record of leading high-performing engineering teams in a startup or high-growth environment.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

AI Machine Learning Cloud Architecture System Design Python Kubernetes AWS Leadership Software Engineering

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