Job Description
We are looking for a visionary Senior AI Architect to lead the 2026 Readiness Program at Quantum Leap Systems. As we bridge the gap between current generative AI capabilities and the autonomous agents of tomorrow, we need an expert who can design scalable, robust, and secure systems. In this role, you will define the technical roadmap for our core AI infrastructure, ensuring our platforms are ready for the next evolution of intelligent automation.
Why join us? You will work at the forefront of AI innovation, collaborating with top-tier researchers and engineers to build the technologies that will define the 2026 landscape. We offer competitive compensation, equity, and a culture that prioritizes technical excellence.
Responsibilities
- Architect and deploy advanced AI solutions focusing on Agentic Workflows and Autonomous Systems.
- Lead the technical strategy for our 2026 roadmap, integrating Large Language Models (LLMs) with enterprise-grade reliability.
- Optimize model inference pipelines for low latency and high throughput in production environments.
- Implement rigorous MLOps practices including continuous integration, deployment, and monitoring (CI/CD).
- Collaborate with cross-functional teams to translate business requirements into cutting-edge technical architectures.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
- 5+ years of experience in AI/ML engineering, with a focus on Deep Learning and NLP.
- Proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with vector databases, RAG (Retrieval-Augmented Generation), and fine-tuning LLMs.
- Demonstrated ability to lead technical projects and mentor engineering teams.