AI Engineering Architect -Agentic AI & Data Platforms(Data Architect II)

This role acts as the “brain” of a transformation accelerator, driving intelligent automation across complex data pipelines using advanced LLM frameworks and AI-driven engineering practices, * Architect and implement Agentic AI workflows to automate:

• Legacy pipeline parsing
• PySpark code generation
• DAG (workflow) generation

Design and standardize:

• Prompt engineering frameworks
• Context management strategies for LLMs

Build and enhance:

• AI validation pipelines (including hallucination detection and control)
• Static analysis mechanisms for generated code

Enable enterprise-scale AI adoption by:

• Driving AI-generated documentation and metadata
• Scaling intelligent automation across thousands of pipelines

Do you have experience in Python?, Do you have a Master’s degree?, * Strong expertise in:

• Agentic AI / LLM architectures / prompt engineering
• Python development
• Data engineering concepts (for validation and automation workflows)

Proven experience designing AI-driven automation solutions

Ability to develop scalable frameworks for AI code generation and validation

Nice to Have

• Experience with orchestration frameworks (e.g., Airflow or similar)
• Exposure to data processing frameworks such as PySpark, pyspark,agentic ai,python,data engineering

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.