AI Ops Engineer - Enterprise Data Platform

About the role

We are looking for a AI Ops Engineer to be part of team managing the end-to-end health of a client's enterprise data estate, operating as the single accountable control tower across a hybrid platform.

What you'll do

• Act as the primary point of accountability for critical data objects and business domains as per assigned responsibilities
• Drive service scorecard initiatives: SLA attainment, MTTR, data freshness, repeat-failure rate, pass rate, connector stability and FinOps
• Participate in client meetings during major incidents and own the post-incident review
• Contribute towards the Standard Operating Procedure for the estate — scope, monitoring framework, severity matrix, RACI, escalation paths
• Drive triage activities for P1 and P2 incidents, assign the resolver domain, run the cross-party bridge

What you need

• 5–8 yrs of experience
• SQL
• ETL
• Data warehousing
• Data modelling
• dbt
• ServiceNow
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Python
• Snowflake
• Informatica
• Spark
• ITIL
• LLMs