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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Lead (2026 Vision)

QuantumLeap Systems
Austin
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Future-Ready AI Lead to architect the intelligent systems of tomorrow. In this pivotal role, you won't just be building AI; you will be shaping the roadmap for 2026 and beyond, ensuring our solutions are resilient, scalable, and revolutionary.

At QuantumLeap Systems, we are obsessed with the next generation of technology. You will work at the intersection of advanced machine learning and long-term strategic foresight, leading a team of elite engineers to build the infrastructure that powers the future.

Responsibilities

  • Architect Future-Proof Solutions: Design and deploy scalable AI architectures capable of handling the demands of the 2026 technology landscape.
  • Strategic Roadmapping: Lead the R&D strategy, identifying emerging trends in predictive AI and spatial computing to drive product innovation.
  • Team Leadership: Mentor a high-performance engineering team, fostering a culture of continuous learning and technical excellence.
  • Model Optimization: Push the boundaries of neural networks to achieve unprecedented accuracy and efficiency in real-time processing.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate futuristic concepts into tangible, market-ready products.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related field (PhD preferred).
  • Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a leadership role.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and cloud infrastructure (AWS/GCP).
  • Foresight: Demonstrated ability to anticipate future tech trends and apply them to solve current problems.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, large-scale system challenges.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Computing System Architecture Leadership Strategic Planning

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