Sr. AI Engineer 4B
Genpact (company site, opens in a new tab)3–6 yrsGurugramOn-siteDirect career pageEst. 14–30 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own implementation, deployment, and operational support of AI infrastructure including RAG pipelines, vector databases, APIs, and enterprise integrations.
- Manage deployment and monitoring of AI solutions in Azure, ensuring scalability, performance, security, and cost efficiency.
- Collaborate with AI Developers and product teams on design, support procedures, and governance compliance to maintain reliable AI production environments.
Minimum Requirements
- 3-6 years of engineering experience including 1-3 years with AI/Generative AI solutions in a business setting.
- Bachelor's degree in Computer Science, Engineering, IT, Data Science, Mathematics, or related field (or equivalent practical experience).
- Proficient in Python, SQL, REST APIs, Azure cloud services, Azure OpenAI or OpenAI APIs, vector search, embeddings, and CI/CD pipelines.
- Experience developing and supporting cloud-based AI integrations and backend services with exposure to Microsoft 365, SharePoint, Teams, and ERP system integrations.
Ideal Candidate Profile
- Experienced in building and maintaining scalable, secure AI infrastructure for enterprise-scale deployments in Azure environments.
- Comfortable working in an Agile, cross-functional team with focus on stable operational support and continuous improvement of AI solutions.
- Technically proficient with strong backend and cloud integration skills, capable of handling AI solution technical foundation independently.