Job Description
QuantumLeap Industries is pioneering the Project 2026 initiative—a next-generation framework designed to revolutionize autonomous decision-making and quantum-enhanced computing. We are seeking a visionary Senior AI Architect to lead the architectural design of our core neural systems.
In this role, you will bridge the gap between theoretical AI research and scalable production infrastructure. You will be responsible for defining the technical roadmap for our '2026' ecosystem, ensuring our systems are not only powerful but also ethical, secure, and future-proof.
Why join us?
We offer top-tier equity, a fully remote-first culture, and the opportunity to build the foundational technologies of the next decade. If you are passionate about the future of AI and want to leave a lasting legacy, this is your chance.
Responsibilities
- Architect and design scalable, high-performance neural networks for the Project 2026 platform.
- Lead a team of top-tier data scientists and engineers to implement state-of-the-art machine learning models.
- Define technical strategies for integrating quantum computing elements into classical AI workflows.
- Oversee code reviews, system architecture reviews, and ensure adherence to best practices and security protocols.
- Collaborate with product managers to translate complex technical requirements into user-centric solutions.
- Drive research initiatives to stay ahead of industry trends in AGI and autonomous systems.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural role.
- Deep expertise in Python, C++, and distributed systems (Kubernetes, Docker, AWS/GCP).
- Proven track record of deploying production-grade AI models at scale.
- Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.