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PwC brand, mid-level cloud role in Hyderabad with generalist Azure+AI skillset increases applicant competition.
Role demands Azure AI, healthcare integrations and enterprise platforms, making cross-industry portability limited.
Explicit 5–8 years requirement plus mandatory Azure, Azure AI, Python, and certifications increases filter strictness.
Lead design and deployment of Azure-native intelligent agentic AI systems for healthcare operations within a multi-platform environment including Oracle, Pega, and ServiceNow.
Architect and implement scalable Azure cloud solutions incorporating microservices, serverless functions, containerization (AKS), and event-driven patterns with a focus on healthcare use cases and HIPAA compliance.
Oversee integration of autonomous agent frameworks, multi-agent orchestration, and RAG pipelines, while mentoring engineers and managing cross-platform delivery and technical documentation.
5–8 years of professional software development and cloud engineering experience, including 4–5 years with Microsoft Azure platform architecture and deployments.
Minimum 4 years of production-level Python development experience using FastAPI, async programming, and API design.
At least 3 years hands-on experience with Azure AI services, including Azure AI Foundry, Azure OpenAI, and agentic AI implementations.
Mandatory familiarity with Oracle Agentic Studio, Pega Platform integration, ServiceNow Now Platform, and Azure certifications such as AZ-305, AZ-304, or AI-102.
Experienced in architecting and deploying complex, multi-tenant Azure cloud AI solutions specifically integrating autonomous agent technologies in regulated healthcare environments.
Capable of independently driving architectural decisions, mentoring cross-skilled teams in cloud and agentic AI technologies, and managing integration across multiple enterprise platforms (Oracle, Azure, Pega, ServiceNow).
Demonstrates deep expertise in end-to-end design of RAG pipelines, multi-agent orchestration, and cloud infrastructure as code, with a focus on operationalizing AI in healthcare settings.