The AI Solutions Engineer identifies high-value use cases and assesses the feasibility of various technical solutions. This role involves prototyping innovative ideas and delivering successful pilot projects for clients. The engineer develops, fine-tunes, and deploys AI models while designing effective prompt engineering strategies. They are responsible for integrating these solutions securely with existing enterprise platforms and systems. Additionally, the role requires building and maintaining data pipelines to ensure accurate data delivery for models. The engineer also manages the deployment and scaling of applications within cloud environments while implementing DevOps and MLOps practices.

Candidates must possess a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. The role requires 4-6 years of experience in developing, deploying, and maintaining AI and machine learning solutions within enterprise environments. Applicants need specialist proficiency in Python and a robust understanding of data pipeline development and cloud platforms. Several Microsoft certifications, such as Azure AI Engineer Associate or Data Scientist Associate, are preferred. Strong communication skills and the ability to align technical solutions with business strategies are also necessary.