Job Description
Are you ready to define the future of artificial intelligence? Quantum Nexus Systems is seeking a visionary Senior AI Architect (2026 Horizon) to lead our next-generation research division. In this pivotal role, you won't just be building models; you will architect the foundational systems that will power the global economy by 2026. We are looking for a technologist who thrives on ambiguity and possesses the foresight to anticipate the next leap in Machine Learning and Generative AI.
We are building the infrastructure for the post-silicon era of computing. As a key member of our elite engineering team, you will push the boundaries of what is possible with Large Language Models (LLMs), reinforcement learning, and neural-symbolic integration. If you are passionate about ethical AI, scalable architecture, and solving the hardest problems in technology, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable, high-performance AI infrastructures capable of processing petabyte-scale datasets in real-time.
- Research Leadership: Spearhead research initiatives in Generative AI and Autonomous Agents, ensuring our technology stays ahead of the 2026 market curve.
- Model Optimization: Reduce inference costs by 40% and increase accuracy through advanced quantization and distillation techniques.
- Technical Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stakeholder Collaboration: Bridge the gap between theoretical research and practical application, translating complex technical concepts for executive leadership.
- Ethical AI Compliance: Establish rigorous safety protocols and bias mitigation strategies for all deployed AI models.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI, ML, or Theoretical Physics.
- Experience: 7+ years of professional experience in software engineering or AI research, with at least 3 years leading architectural initiatives.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
- Model Mastery: Proven track record of developing or optimizing state-of-the-art Large Language Models (LLMs) or Transformers.
- Problem Solving: Exceptional ability to solve complex, unstructured problems with limited guidance.
- Soft Skills: Excellent communication skills, with the ability to articulate technical vision to non-technical stakeholders.