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Senior AI Architect (2026 Horizon)

QuantumLeap Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the future of artificial intelligence? QuantumLeap Systems is seeking a visionary Senior AI Architect (2026 Horizon) to lead our strategic technology roadmap. In this pivotal role, you will be responsible for architecting the infrastructure and algorithms that will power our breakthrough solutions through the year 2026 and beyond. You will work at the intersection of cutting-edge research and scalable engineering, ensuring our systems are robust, efficient, and ahead of the curve.

We are looking for a thought leader who isn't just building for today, but designing the architecture that will dominate the AI landscape in 2026.

Responsibilities

  • Lead the 2026 AI Roadmap: Define and execute the technical strategy for our AI initiatives leading up to and beyond 2026, ensuring alignment with business objectives.
  • Architect Scalable Systems: Design and implement distributed, high-performance AI systems capable of processing petabytes of data with real-time latency.
  • Model Optimization: Oversee the deployment of state-of-the-art machine learning models, focusing on inference optimization and edge computing integration.
  • Technical Leadership: Mentor a team of talented engineers and researchers, fostering a culture of innovation, code excellence, and continuous learning.
  • Stakeholder Collaboration: Bridge the gap between technical teams and executive leadership, translating complex AI concepts into actionable business strategies.
  • Future-Proofing: Research emerging trends and technologies (e.g., Neuromorphic Computing, Generative AI evolution) to integrate into our core architecture.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 8+ years of professional experience in software engineering and AI/ML architecture.
  • Core Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Strategic Mindset: Demonstrated ability to think long-term and architect systems that are resilient to technological shifts.
  • Leadership: Proven track record of leading cross-functional teams and managing complex technical projects.
  • Communication: Exceptional verbal and written communication skills, capable of presenting complex technical ideas to diverse audiences.

Required Skills

Python PyTorch TensorFlow Kubernetes Docker Machine Learning Deep Learning System Architecture AI Strategy Cloud Computing AWS Leadership

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