Job Description
We are seeking a visionary Senior AI Architect to lead the development of our next-generation infrastructure for the 2026 era. At NovaCore, we are not just building software; we are architecting the future of intelligent systems. You will be responsible for defining the architectural roadmap for scalable, high-performance AI models that will power our enterprise solutions for years to come.
In this role, you will bridge the gap between theoretical artificial intelligence and practical, production-ready engineering. You will work at the intersection of deep learning, cloud computing, and quantum integration, ensuring our systems are future-proof and capable of handling the exponential growth of data.
Why Join NovaCore?
- Work on cutting-edge AI systems that define the industry standard.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a focus on work-life balance.
- Access to state-of-the-art computing resources and research tools.
Responsibilities
- Design and implement scalable AI architectures using modern frameworks (TensorFlow, PyTorch).
- Lead the integration of quantum computing concepts into classical machine learning pipelines.
- Oversee the migration of legacy systems to cloud-native, microservices architectures.
- Mentor and guide a team of data scientists and software engineers to ensure code quality and best practices.
- Conduct rigorous performance tuning and optimization of deep learning models for real-time inference.
- Collaborate with cross-functional teams to translate business requirements into technical specifications.
- Ensure data security, privacy compliance, and ethical AI deployment standards.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 8+ years of professional experience in software engineering and machine learning architecture.
- Deep proficiency in Python, C++, and SQL.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of deploying large-scale AI models into production environments.
- Familiarity with edge computing and IoT device integration is a strong plus.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.