About AuxoAI :

AuxoAI is a global platform-based services firm. We help companies turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance operations, improve customer experiences, and provide clear, actionable insights from their data.

What We Do :

We work across industries such as healthcare, high-tech, consumer packaged goods (CPG), finance, and more across sales, marketing, and customer support functions. We help our clients accelerate their digital and AI journeys through :

- AI Application Development

- Data, Digital and Cloud acceleration using AI

- AI Native Product Engineering

Location : Hyderabad, Bangalore, Mumbai or Gurgaon

Level : Senior Associate / Manager

Required Experience : 5 - 8 years

Role Summary :

We are looking for an AI Ops Engineer to be part of a 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. You will build a service that detects, correlates and increasingly resolves on its own, applying AIOps and GenAI to compress triage, predict failure on the critical path, and convert repetitive manual intervention into automation.

Responsibilities :

- Act as the primary point of accountability for critical data objects and business domains.

- 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 and keep it current as the platform evolves.

- Drive triage activities for P1 and P2 incidents and run the cross-party bridge.

- Drive problem management to convert recurring incidents into permanent fixes.

- Maintain the technical standard for the service across legacy and modern technical stacks.

- Follow data architecture standards, govern the data model, and ensure semantic consistency.

- Lead diagnosis on major incidents across domain boundaries.

- Drive initiatives to establish AIOps or intelligent observability.

Qualifications :

- Bachelor's/Master's degree in Computer Science, Engineering, or related field.

- 5 - 8 years in data engineering, data warehousing or data operations.

- Minimum 3 years experience in implementing data pipelines using dbt.

- Strong SQL and data modelling expertise.

- Demonstrated experience working in high-touch operations projects.

- Practical experience with enterprise job scheduling (Tidal, Control-M, Autosys or equivalent) and ITSM process in ServiceNow.

- Excellent written and verbal communication skills.

Preferred Skills :

- Experience in implementing or supporting Snowflake data platforms.

- Experience in Informatica PowerCenter and a relational data warehouse platform.

- Working knowledge of MicroStrategy or a comparable enterprise BI platform.

- Familiarity with Python or PySpark for operational tooling and automation.

- Exposure to cloud cost management and FinOps practice.

- ITIL certification or equivalent practical grounding in service management.