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Information Technology 🏒 Full Time ⭐️ Verified

2026 Strategic Technology Architect

Apex Systems
Seattle
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are at the precipice of a technological revolution, and Apex Systems is looking for a visionary 2026 Strategic Technology Architect to define the infrastructure of tomorrow.

In this pivotal role, you will lead the charge in integrating next-generation AI, quantum computing, and sustainable energy technologies into our core platforms. You won't just be maintaining systems; you will be architecting the roadmap that will define our operational excellence for the year 2026 and beyond.

If you are a forward-thinking leader who thrives on complexity and innovation, this is your opportunity to shape the future.

Why Join Us?

  • Future-Proof Your Career: Work on projects that are setting the standard for the next decade.
  • Competitive Compensation: Base salary ranging from $160k to $220k plus equity.
  • Flexible Work Environment: Hybrid model supporting Seattle-based talent.

Responsibilities

  • Design and implement the 2026 Strategic Technology Roadmap, aligning technical architecture with long-term business objectives.
  • Lead the integration of Quantum-Ready algorithms into legacy enterprise systems.
  • Oversee the development of autonomous AI agents designed for complex decision-making scenarios.
  • Ensure system scalability, security, and resilience against emerging cyber threats.
  • Collaborate with cross-functional teams to drive innovation in sustainable computing practices.
  • Conduct high-level technical assessments and mentor junior architects to foster a culture of excellence.

Qualifications

  • Minimum of 8+ years of experience in Enterprise Architecture or Systems Engineering.
  • Deep expertise in Python, TensorFlow, and Cloud-native architectures (AWS/Azure).
  • Experience with Quantum Computing frameworks (e.g., Qiskit, Cirq) is highly desirable.
  • Strong understanding of AI Governance and ethical AI implementation.
  • Proven track record of leading high-stakes technical projects from conception to deployment.
  • Master’s degree in Computer Science, Information Systems, or a related technical field.

Required Skills

Quantum Computing Python AWS Enterprise Architecture AI Machine Learning System Design

Ready to Take This Challenge?

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