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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect 2026

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution! We're seeking a visionary Future Systems Architect to design and implement next-gen infrastructure solutions for 2026 and beyond. This pivotal role demands strategic foresight to architect resilient, scalable systems that will power our global operations through emerging technological paradigms.

As a key member of our Advanced Research Division, you'll collaborate with C-suite executives to transform theoretical concepts into tangible architectures. You'll pioneer solutions in quantum computing integration, AI-driven automation frameworks, and decentralized networks while ensuring seamless compatibility with legacy systems. This is your opportunity to shape the technological landscape for the next decade.

Responsibilities

  • Design end-to-end system architectures capable of supporting 2026-era quantum and AI workloads
  • Develop strategic roadmaps for infrastructure evolution with 5-year implementation horizons
  • Lead cross-functional teams in prototyping next-gen solutions using bleeding-edge technologies
  • Conduct scenario planning for technological disruptions and architectural resilience
  • Establish governance frameworks for ethical AI and quantum system integration
  • Drive innovation through partnerships with academic institutions and tech pioneers
  • Present architectural blueprints to executive stakeholders and investor boards

Qualifications

  • Minimum 10 years in enterprise architecture with 5+ years in future-tech planning
  • Expertise in quantum computing, distributed ledger systems, and neural network architectures
  • Proven track record of designing systems for 10+ year scalability horizons
  • Certifications in AWS/Azure/GCP quantum services and TensorFlow/PyTorch frameworks
  • Strong background in systems modeling using UML, SysML, and digital twin technologies
  • Experience with scenario planning methodologies and risk mitigation frameworks
  • PhD in Computer Science or related field preferred

Required Skills

quantum computing distributed systems AI architecture future-tech planning systems modeling risk mitigation AWS/Azure quantum services neural networks

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