Key Skills: LLM, Gen AI, CICD, Data Engineering, GCC, MLOps, Snowflake, AWS Cloud, Python
Roles and Responsibilities:
- Build and lead a high-performing Data & AI Engineering organization within the Hyderabad GCC, including operating models, engineering practices, hiring strategies, and leadership pipelines.
- Define and drive enterprise data architecture, governance, and modernization strategy for scalable, cloud-native data platforms.
- Lead development of resilient, secure, cost-efficient data pipelines and enterprise-wide data reliability, observability, lineage, and data quality initiatives.
- Drive enterprise AI/ML and GenAI solutions, including LLM applications, RAG architectures, agentic workflows, predictive analytics, and intelligent automation.
- Establish best-in-class engineering practices across CI/CD, testing automation, MLOps, DevSecOps, AI observability, and platform reliability while operationalizing AI responsibly with governance and compliance.
Skills Required:
- 15 - 25 years of relevant experience in data engineering and AI/GenAI platform delivery
- CI/CD practices for production delivery and engineering excellence.
- Data Engineering leadership, including scalable pipeline development and enterprise data modernization.
- Gen AI and LLM solution development and operationalization in enterprise environments.
- GCC operating model experience and ability to lead globally distributed teams.
Good to Have:
- AWS Cloud, Python, MLOps, and Snowflake experience for building and scaling data and AI platforms.
Education: Any Graduation
