Job Description
Join the Architects of Tomorrow.
Visionary 2026 is pioneering the next generation of autonomous systems. We are looking for a visionary Lead AI Architect to design and deploy scalable, high-performance machine learning infrastructure that will define the technological landscape of the coming decade.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI models are not only accurate but also robust, secure, and ethically aligned. You will lead a world-class team of engineers, researchers, and data scientists in building the neural networks of the future.
Why Join Us?
- Impact: Work on projects that directly shape the future of human-computer interaction.
- Innovation: Access to cutting-edge hardware and cloud resources.
- Growth: A clear pathway to executive leadership within a rapidly scaling unicorn.
Responsibilities
- Design and architect end-to-end AI solutions, from data ingestion to model deployment and monitoring.
- Lead the technical strategy for scaling our core recommendation engines and predictive models.
- Collaborate with cross-functional teams (Product, Security, Engineering) to define technical requirements and roadmaps.
- Mentor junior and senior engineers, fostering a culture of continuous learning and technical excellence.
- Ensure system reliability, data privacy, and ethical AI practices across all deployments.
- Stay ahead of industry trends in Deep Learning, NLP, and Reinforcement Learning to integrate the latest advancements.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 8+ years of experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of deploying large-scale models in production environments (AWS, GCP, or Azure).
- Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.