AI Platform Engineer
Light & Wonder (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Serve as technical gatekeeper reviewing AI solutions built by non-developers to ensure safety, accuracy, and compliance with governance before production.
- Design, build, and deploy AI/LLM-integrated solutions specifically for finance functions like FP&A, accounting, audit, and reporting workflows with proper version control.
- Track token/API usage and cost, support usage reporting, and lead remediation for gaps in citizen-developer AI builds including validation and drift detection implementation.
Minimum Requirements
- Proficiency in Python or equivalent for automation and data pipelines.
- Experience with cloud platforms (Azure/AWS preferred) and integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI).
- Hands-on experience with Git version control, SQL, ETL/data pipelines, and familiarity with low-code/RPA platforms like Power Platform or UiPath enough to review builds.
- Working knowledge of AI governance concepts such as model validation, drift detection, data lineage, audit trails, and ability to communicate technical risks to non-technical finance staff.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in working with finance domain and understanding finance processes to evaluate business context of AI builds, preferably with FP&A or accounting exposure.
- Skilled at collaborating across business units with varied technical maturity and able to establish or support citizen-developer governance programs or AI Centers of Excellence.
- Comfortable balancing technical depth with communication to non-technical stakeholders and hands-on delivery within regulated environments requiring compliance and controls.