Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Quantum Leap Dynamics is seeking a visionary Lead AI Architect to spearhead our next-generation autonomous systems and generative intelligence infrastructure.
We are building the future of intelligent software. In this pivotal role, you will define the architectural blueprints for large-scale machine learning models that redefine efficiency, scalability, and human-AI interaction. This is not just a job; it is a mission to engineer the reality of tomorrow.
Why Join Us?
We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that will define the industry standard for the coming decade.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable AI architectures for autonomous agents, reinforcement learning, and next-generation NLP models.
- Lead R&D Initiatives: Spearhead research into emergent AI behaviors, self-optimizing algorithms, and agentic workflows.
- Infrastructure Integration: Collaborate with cross-functional engineering teams to seamlessly integrate complex AI models into core product infrastructure using cloud-native technologies.
- Establish Best Practices: Define and enforce MLOps standards, data governance protocols, and model validation frameworks to ensure production-grade reliability.
- Strategic Mentorship: Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence within the AI division.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 10+ years of experience in software engineering with a heavy focus on AI/ML and deep learning.
- Technical Stack: Deep expertise in PyTorch, TensorFlow, or JAX; proven experience deploying Large Language Models (LLMs) and Agentic AI frameworks.
- System Design: Strong grasp of distributed systems, microservices, and cloud-native architectures (AWS, GCP, or Azure).
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-scale environments.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.