Senior Enterprise Software Engineer -AI Operations
Wolters Kluwer (company site, opens in a new tab)6–8 yrsChennaiOn-siteDirect career pageEst. 30–50 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end architecture and delivery of production AI systems across AWS and Azure, including multi-agent workflows, RAG, model serving, and cloud infrastructure.
- Set cross-team AI engineering standards and own evaluation, safety, governance, observability, and cost-optimization practices for deployed systems.
- Provide staff-level technical leadership through design reviews, mentoring, and alignment with Product, Research, Data Science, and Platform Engineering.
Minimum Requirements
- Work Experience Required: 6–8 years of experience.
- Strong experience architecting and delivering enterprise AI systems using Amazon Bedrock and Microsoft Foundry/Azure AI services.
- Material technical scope includes production generative AI systems such as agent orchestration, RAG, model customization, and cloud-native deployment across AWS and Azure.
Ideal Candidate Profile
- A hands-on, staff-level individual contributor who can set architecture direction while remaining accountable for production implementation.
- Experienced with managed, serverless AI services and multi-cloud trade-offs; the JD explicitly deprioritizes SageMaker-centric workflows.
- Has operated AI systems where evaluation, security, compliance, monitoring, and cost controls are part of production readiness, and can mentor engineers across teams.