Job Description
Are you ready to define the technological landscape of the year 2026?
At Quantum Leap Innovations, we aren't just building software; we are architecting the future. We are seeking a visionary Senior AI Architect to lead the development of next-generation generative models and scalable infrastructure designed to power the digital economy of tomorrow.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will be responsible for designing robust, secure, and high-performance systems that can handle the massive scale of future data demands. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and want to leave a lasting legacy in the tech industry, we want to meet you.
Why join us?
- Work on cutting-edge AI infrastructure for the year 2026 and beyond.
- Competitive compensation and equity package.
- Flexible remote-first policy with a hub in San Francisco.
- Top-tier health, dental, and vision insurance.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable AI infrastructure that anticipates the computational demands of 2026 and beyond, utilizing microservices and containerization.
- Lead Technical Vision: Define the long-term technical roadmap for our AI division, ensuring alignment with business goals and emerging industry trends.
- Optimize Performance: Spearhead the optimization of deep learning models to ensure low latency and high throughput in real-time applications.
- Collaborate Across Teams: Work closely with data scientists, software engineers, and product managers to integrate complex AI models into user-facing products.
- Ensure Security & Compliance: Implement rigorous security protocols and data privacy measures (GDPR/CCPA) to protect sensitive AI models and user data.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
- Experience: 5+ years of professional experience in software engineering, with at least 3 years focused on AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or JAX; experience with distributed systems and cloud platforms (AWS, Azure, or GCP).
- Architecture: Strong understanding of system design patterns, microservices, and high-availability architecture.
- Problem Solving: Proven ability to troubleshoot complex technical challenges and innovate under pressure.