Designs, builds, deploys, and supports secure generative AI solutions on Azure. Responsibilities include developing Azure OpenAI and RAG applications, agentic workflows, secure APIs and microservices, cloud deployments, responsible AI controls, monitoring, and enterprise security integrations. The role requires strong Python and Azure expertise, experience with AI search and retrieval, agent frameworks, API development, cloud infrastructure, observability, and secure tool integration.
Role Summary
Key Responsibilities
Required Skills & Qualifications
We are seeking an experienced Azure AI Engineer. The Azure AI Engineer designs, builds, deploys, and supports secure generative AI solutions on Microsoft Azure. This intermediate-level role translates business requirements into reliable AI services using Azure OpenAI, retrieval-augmented generation, agentic workflows, and production-grade APIs. The engineer works with product, data, security, and platform teams to deliver observable, cost-conscious, and enterprise-ready solutions.
- Build and integrate Azure OpenAI solutions using model APIs, prompt templates, streaming responses, structured outputs, and robust error handling.
- Design RAG pipelines covering document ingestion, chunking, embeddings, Azure AI Search, hybrid retrieval, reranking, citations, and evaluation.
- Develop agentic workflows with function calling, tool use, routing, state, memory, and human-in-the-loop controls.
- Expose AI capabilities through secure asynchronous APIs and microservices using FastAPI or equivalent enterprise backend frameworks.
- Deploy AI applications to Azure App Service, Azure Functions, or AKS and support environment configuration, secrets, scaling, and release automation.
- Apply responsible AI controls including prompt-injection defenses, PII handling, content filtering, output validation, and auditability.
- Implement monitoring for latency, token usage, cost, failures, quality, and drift using Azure Monitor and Application Insights.
- Collaborate with networking and security teams on managed identities, RBAC, Key Vault, VNets, private endpoints, and enterprise data isolation.
- 3+ years of software engineering experience, including 1+ year in cloud AI/ML or generative AI.
- Hands-on experience with Azure OpenAI, Azure AI Search, and Azure AI services.
- Strong Python skills with REST APIs, async services, prompt engineering, and SDKs.
- Experience with embeddings, chunking, vector/hybrid search, reranking, citations, and evaluation.
- Experience with function calling, tools, routing, state, memory, and agent frameworks.
- Experience building secure APIs and microservices using FastAPI or similar frameworks.
- Knowledge of prompt-injection protection, PII handling, content safety, and output validation.Familiarity with RBAC, Managed Identity, Key Vault, VNets, Private Link, and enterprise security.
- Experience with CI/CD, Azure Monitor, Application Insights, performance, and cost monitoring.
- Working knowledge of Model Context Protocol and secure tool integration.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Azure AI/Solutions Architect certification and experience with React/Next.js, Streamlit, Gradio, SaaS, or infrastructure as code
Value Creed Hyderabad, Telangana, IND Office
17th Floor, Sky One, Prestige Skytech, Financial District, Hyderabad, Telangana, Hyderabad, Telangana, India, 500032
Value Creed Hyderabad, Telangana, IND Office
Hyderabad, India
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