Role description
AI architect role, with data architect – AI applications on top of data layer.
Design and deliver AI/ML solutions on top of enterprise data platforms, ensuring scalable architecture, high-quality data, and seamless integration from data layer to AI applications.
Key Responsibilities
- Define end-to-end architecture for AI/ML and GenAI solutions
- Build AI applications leveraging structured & unstructured data
- Design data platforms (lake/warehouse/lakehouse) and pipelines
- Enable RAG, LLM, and advanced analytics use cases
- Implement MLOps pipelines for deployment and monitoring
- Ensure data governance, quality, and security
- Collaborate with business and technical teams to deliver solutions
Required Skills
- Strong experience in AI/ML and Data Architecture
- Expertise in data platforms, ETL/ELT, and big data (Spark, Kafka)
- Hands-on with Python, SQL, ML frameworks
- Experience with GenAI, LLMs, and vector databases
- Cloud expertise (Azure / AWS / GCP)
- Knowledge of MLOps and data governance
Skills
data architecture,ai architecture,mlops architecture,data governance,
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
