AES - DE - Generative AI Application Developers

Zensar · Hyderabad

Source and collection record

Last observed by our collector: 9 October 2026 at 12:32 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 149949

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Collected role description

Required Skills Azure Machine Learning (Azure ML) Python Prompt Engineering Retrieval Augmented Generation (RAG) Vector Databases / Embeddings LangChain / LangGraph REST API Development Azure DevOps, Git, CI/CD Experience: 7+ Years Role Summary Hands-on AI/ML engineer responsible for implementing approved business AI initiatives across the application portfolio using Azure AI technologies. The role will work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions. Key Responsibilities • Design and implement business-focused AI solutions using Azure OpenAI and Azure AI Services. • Build AI assistants, copilots, intelligent search, and workflow automation solutions. • Develop and deploy RAG (Retrieval Augmented Generation) solutions leveraging enterprise data sources. • Integrate AI capabilities into existing enterprise applications and business processes. • Develop reusable AI accelerators that can be leveraged across applications and regions. • Support AI advisory initiatives, including reporting, intelligence, and automation use cases. • Drive AI use cases from concept, prototype, pilot, and production deployment. Experience: 7+ Years Role Summary Hands-on AI/ML engineer responsible for implementing approved business AI initiatives across the application portfolio using Azure AI technologies. The role will work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions. Key Responsibilities • Design and implement business-focused AI solutions using Azure OpenAI and Azure AI Services. • Build AI assistants, copilots, intelligent search, and workflow automation solutions. • Develop and deploy RAG (Retrieval Augmented Generation) solutions leveraging enterprise data sources. • Integrate AI capabilities into existing enterprise applications and business processes. • Develop reusable AI accelerators that can be leveraged across applications and regions. • Support AI advisory initiatives, including reporting, intelligence, and automation use cases. • Drive AI use cases from concept, prototype, pilot, and production deployment. AI/ML requirement with 8+ yrs experience

Collected experience requirement

5-10 years