Job Description
At 2026, we are not just predicting the future; we are engineering it. We are on a mission to redefine human-computer interaction through advanced artificial intelligence and quantum computing integration. As the Lead AI Architect, you will be at the helm of our core neural engine, responsible for building the infrastructure that powers our next-generation platform.
We are looking for a visionary technologist who thrives in ambiguity and is driven by the challenge of solving complex problems at the intersection of machine learning, distributed systems, and scalable architecture.
Responsibilities
- Design and implement scalable machine learning pipelines and neural network architectures that handle real-time data streams with low latency.
- Lead the technical strategy for our AI research initiatives, ensuring alignment with our 2026 product roadmap.
- Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams (product, design, and security) to integrate AI solutions seamlessly into user experiences.
- Conduct rigorous code reviews and architectural reviews to ensure system reliability and performance.
- Stay abreast of the latest advancements in AI, quantum computing, and edge devices to drive continuous improvement.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of professional experience in software engineering, with at least 4 years specializing in AI/ML architecture.
- Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Deep understanding of machine learning algorithms, natural language processing (NLP), and computer vision.
- Proven track record of leading high-impact projects from concept to deployment.
- Strong communication skills with the ability to translate complex technical concepts for diverse stakeholders.