Job Description
Are you ready to define the technological landscape of the future? Quantum Leap AI is on the hunt for a visionary Senior AI Architect to spearhead our next-generation infrastructure. We are building the foundational systems for the 2026 Protocol—a revolutionary AI ecosystem designed to redefine human-machine interaction. If you possess an insatiable curiosity for the bleeding edge of technology and a proven track record in scalable AI architecture, we want to meet you.
As a key member of our elite engineering team, you will not just write code; you will architect the very fabric of our intelligence systems. You will work in a fast-paced, high-performance environment where your contributions will have a tangible impact on millions of users globally. Join us in shaping the future of Artificial General Intelligence (AGI).
Responsibilities
- Architect the 2026 Protocol: Design and implement the core infrastructure for our next-generation AI engine, ensuring high availability, security, and scalability.
- Lead Technical Strategy: Define the architectural vision for complex machine learning systems, guiding the engineering team through best practices and modern paradigms.
- Optimize Neural Networks: Lead initiatives to reduce latency and increase throughput in large-scale distributed learning environments.
- Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and researchers to translate complex requirements into robust technical solutions.
- Drive Innovation: Explore and integrate cutting-edge advancements in Deep Learning, NLP, and Reinforcement Learning to stay ahead of industry trends.
- Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field is strongly preferred.
- Experience: 7+ years of professional experience in software engineering, with a specific focus on AI/ML systems architecture.
- Technical Skills: Deep expertise in Python, C++, and TensorFlow/PyTorch. Experience with distributed systems (Kubernetes, Docker) and cloud platforms (AWS/GCP) is required.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Passion: A genuine passion for the future of AI and a strong desire to push the boundaries of what is currently possible.