Job Description
At Nebula AI, we are not just predicting the future; we are engineering it. As we approach the transformative year of 2026, we are seeking a visionary Senior AI Architect to lead our next-generation neural infrastructure. This is a rare opportunity to define the core technology stack that will power the digital landscape of the next decade.
We are looking for a thought leader who thrives on ambiguity and possesses the technical prowess to build systems that scale. If you are passionate about the intersection of generative AI, quantum computing, and sustainable technology, we want to meet you.
We are looking for a thought leader who thrives on ambiguity and possesses the technical prowess to build systems that scale. If you are passionate about the intersection of generative AI, quantum computing, and sustainable technology, we want to meet you.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable machine learning architectures tailored for the 2026 market landscape.
- R&D Leadership: Spearhead research initiatives in Generative AI and next-gen neural networks.
- Strategic Vision: Define the technical roadmap aligning with the company's ambitious 2026 product goals.
- Talent Development: Mentor a team of top-tier engineers and foster a culture of innovation and excellence.
- Cross-Functional Collaboration: Work closely with product managers and designers to translate complex AI concepts into user-centric features.
- Performance Optimization: Continuously monitor, optimize, and scale AI models to ensure real-time processing and efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 10+ years of experience in AI/ML engineering, with at least 3 years in a senior leadership or architect role.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and major cloud platforms (AWS/Azure/GCP).
- Future Tech Knowledge: Demonstrated understanding of emerging trends in AGI and Large Language Models (LLMs).
- Problem Solving: Proven track record of solving complex, large-scale technical problems under tight deadlines.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.