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Senior AI Architect: 2026 Visionary

Quantum Leap Solutions
Seattle
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Architect the Future of Intelligence

Quantum Leap Solutions is seeking a visionary Senior AI Architect to lead the development of our flagship 2026 roadmap. If you thrive on solving complex, cutting-edge problems and want to define the technology landscape for the next decade, this is your opportunity.

We are looking for a leader who can bridge the gap between theoretical AI advancements and scalable, real-world applications. You will work with a world-class team to integrate Quantum Computing, Generative AI, and Neural Networks into our core infrastructure.

Responsibilities

  • Lead the 2026 AI Roadmap: Define and execute the technical strategy for integrating next-generation AI models into our enterprise ecosystem.
  • System Architecture: Design scalable, resilient cloud-native architectures that leverage the latest advancements in Deep Learning.
  • Innovation Labs: Prototype and test emerging technologies (e.g., AGI, Quantum ML) to determine feasibility and integration points.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stakeholder Collaboration: Translate complex technical concepts into clear, actionable insights for executive stakeholders and product managers.
  • Performance Optimization: Continuously optimize model inference speeds and reduce computational overhead for production environments.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed systems (Kubernetes, AWS/Azure).
  • Future-Forward Thinking: Demonstrated ability to research and implement bleeding-edge technologies ahead of the curve.
  • Leadership: Proven track record of leading high-performing engineering teams and managing cross-functional projects.
  • Problem Solving: Exceptional analytical skills with a focus on solving unsolved problems in the AI space.

Required Skills

Artificial Intelligence Machine Learning Deep Learning System Architecture Cloud Computing Python TensorFlow Leadership Quantum Computing 2026 Tech Roadmap

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