Design and develop the architecture for our Generative AI systems.
Work with other team members to implement and deploy Generative AI systems into production.
Monitor and manage Generative AI systems in production to ensure that they are meeting performance and reliability requirements.
Develop and implement best practices for building, deploying, and managing generative AI systems.
Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work.
Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions.
Mentor and guide junior engineers.

Master's degree in Computer Science, Artificial Intelligence, or a related field
5+ years of experience in Machine Learning and generative AI
10+ years of experience in software development
Strong experience in designing, building, and deploying in production grade scalable Machine Learning models in cloud platforms such as Azure or GCP
Strong experience with a variety of Generative AI models and techniques – RAG, Agentic AI, MCP
Experience with Prompt Engineering and Machine Learning optimization
Experience with deep learning models such as GANs, diffusion models, and transformers.
Experience with Computer Vision and Natural Language Processing.
Experience with Reinforcement Learning.
Experience with distributed computing and scalable systems.
Experience with DevOps and CI/CD.
Experience with Machine Learning ethics
Experience with Generative AI applications in specific domains such as talent management, finance, or manufacturing
Excellent communication and interpersonal skills.

AI Architect

Key skills