Job Description
- Design & Architect Data Infrastructure - Design and oversee deployment of data architecture and pipelines to capture, manage, and store structured and unstructured data from internal and external sources; establish processes and data flows using cloud, local databases, and applicable storage forms
- Build & Automate Data Transformation - Develop technical tools using ML and data-engineering techniques to cleanse, organize, and transform data; implement automated processes to maintain data structure integrity and quality standards on an ongoing basis
- Define Agentic Evaluation Metrics & Ground Truth - Partner with product and AI teams to define evaluation metrics for agentic workflows (task completeness, tool use, workflow success); establish ground truth labeling standards and validation criteria; design evaluation datasets that reflect real-world agent execution
- Build Agentic Evaluation Pipelines - Design and implement automated evaluation infrastructure that measures AI agent performance using Now LLM Service models and execution logs; create dashboards,



reporting, versioning, and reproducibility of evaluation datasets and results
- Establish Standards & Continuous Improvement - Create design standards and quality assurance processes for data systems; define quality gates and validation frameworks; analyze workflow performance and recommend optimizations to accommodate evolving CRM AI requirements
- Lead Cross-Functional Collaboration - Collaborate with product, engineering, and data science teams; mentor junior engineers on data engineering and evaluation design; generalize evaluation patterns and metrics across Agentic AI products Qualifications
- 9+ years designing and building production data pipelines, data warehousing, ETL/ELT systems; solid expertise in SQL, Python, Javascript or equivalent, and distributed data processing
- 3+ years working on ML systems, model validation infrastructure, automated testing, or AI-powered applications;

📌 Staff Data Engineer (Hyderabad)
🏢 Snow Planet
📍 Hyderabad