Job Description
Are you ready to architect the future of intelligence?
QuantumLeap Dynamics is pioneering the 2026 Horizon initiative—a next-generation AI ecosystem designed to revolutionize autonomous decision-making and generative processing. We are seeking a visionary Lead AI Architect to design, build, and deploy scalable, high-performance AI systems that will define the technology landscape of 2026 and beyond.
In this role, you won't just maintain legacy systems; you will architect the foundation for the next era of artificial intelligence. You will lead a team of elite engineers in developing multimodal models, neuromorphic computing architectures, and ethical AI governance frameworks.
Why Join Us?
- Shape the roadmap for 2026 AI Trends (Agentic AI, LLM 4.0).
- Work with cutting-edge infrastructure at the intersection of cloud and edge computing.
- Competitive compensation and equity packages for top-tier talent.
Responsibilities
- Architect Next-Gen AI Systems: Design robust, scalable architectures for large-scale Machine Learning (ML) and Deep Learning (DL) pipelines tailored for 2026 performance standards.
- Lead Model Strategy: Spearhead the research and implementation of advanced generative models and autonomous agent frameworks.
- Infrastructure Optimization: Oversee the deployment of AI models on distributed cloud environments, ensuring high availability and low latency.
- AI Governance & Ethics: Establish frameworks for algorithmic bias, transparency, and compliance with emerging 2026 regulatory standards.
- Technical Mentorship: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field; or equivalent practical experience.
- Experience: 8+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow/PyTorch, and distributed systems (Kubernetes, Docker).
- Strategic Vision: Deep understanding of current AI trends and the ability to forecast future technological needs (e.g., AI safety, quantum computing integration).
- Leadership: Proven track record of leading cross-functional teams in a fast-paced, startup-like environment.