Job Description
Are you ready to shape the technological landscape of 2026 and beyond? QuantumLeap Innovations is seeking a visionary Lead AI Architect to spearhead the development of our next-generation generative intelligence platform.
In this pivotal role, you won't just write code; you will define the architecture that powers autonomous agents, immersive metaverse interfaces, and adaptive learning systems. Join a team that is not just keeping up with the future, but defining it.
We are looking for a builder who thrives in ambiguity and is obsessed with the intersection of deep learning and human experience.
Responsibilities
- Architect and deploy scalable Large Language Model (LLM) infrastructures optimized for edge computing and future quantum integration.
- Lead a cross-functional squad in researching and implementing cutting-edge AI paradigms such as Multimodal Learning and Self-Supervised Pre-training.
- Establish robust AI governance frameworks to ensure ethical deployment and compliance with emerging regulatory standards.
- Collaborate with UX researchers to integrate AI feedback loops directly into interfaces for immersive, 2026-ready user experiences.
- Optimize model latency and cost-efficiency for real-time inference in high-traffic environments.
- Mentor junior engineers and define technical roadmaps for the AI research lab.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a strong focus on Deep Learning.
- Proven experience (7+ years) building production-grade AI systems, specifically in Natural Language Processing (NLP) or Computer Vision.
- Expert proficiency in Python, TensorFlow, PyTorch, and modern GPU orchestration tools (NVIDIA CUDA, Kubernetes).
- Deep understanding of Transformer architectures and attention mechanisms.
- Experience with data pipelines, MLOps, and model versioning (MLflow, DVC).
- Familiarity with future-forward technologies: WebGPU, Spatial Computing, or Quantum Computing interfaces.