Job Description
Are you ready to architect the future of technology? Quantum Leap Systems is seeking a visionary Senior Next-Gen AI Architect to spearhead our initiatives for the 2026 technological landscape.
We are not just building software; we are engineering the intelligence that will define the next decade. If you possess a deep understanding of Generative AI, Large Language Models (LLMs), and scalable neural architectures, we want to hear from you.
Join a world-class team dedicated to pushing the boundaries of what is possible in artificial intelligence.
Responsibilities
- Architect Next-Gen Solutions: Design and implement cutting-edge AI architectures for scalable, production-ready applications targeting the 2026 market standards.
- Model Optimization: Lead the research and development of proprietary Large Language Models (LLMs) and fine-tune them for high-performance inference.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence within the AI division.
- System Integration: Integrate complex AI algorithms into existing software ecosystems, ensuring seamless interoperability and robust security.
- Roadmap Planning: Define the technical roadmap for AI research, identifying emerging trends like quantum-ready algorithms and neuromorphic computing.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Experience: Minimum of 7+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- AI Mastery: Deep expertise in NLP, Computer Vision, and Generative AI models. Experience with model fine-tuning and RAG (Retrieval-Augmented Generation) is highly preferred.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems and translate theoretical research into practical engineering solutions.