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PwC brand, metro location, and mid-level AI role increase competition despite niche agentic specialization.
Requires platform-agnostic agentic AI, cloud integrations, healthcare compliance, and RAG expertise, so hires need domain-specific experience.
Explicit 5–8 years, 3+ years agentic delivery, and multiple mandatory technical skills create strict shortlisting filters.
Design, develop, and deploy intelligent agentic systems spanning multi-cloud (Azure primary, AWS secondary) and multi-platform (Oracle ERP/HCM, Pega, ServiceNow) environments.
Architect and implement scalable microservices, serverless, and event-driven architectures with IaC (Terraform primary) and container orchestration (Docker, Kubernetes AKS/EKS).
Lead RAG pipeline development, multi-agent system design, backend Python API development (FastAPI), and integration of autonomous agents replacing UiPath RPA workflows.
5-8 years of cloud engineering experience with advanced skills primarily in Azure and/or AWS environments.
3+ years of hands-on experience delivering production Agentic AI solutions including RAG pipelines, multi-agent systems, and LLM evaluation.
Strong Python expertise with production experience in FastAPI, async programming, testing, and API design.
Bachelor's or Master's degree in Engineering (B.E./M.E.) required; willingness to master Oracle Agentic Studio; platform-agnostic integration experience essential.
Experienced engineer capable of independently architecting end-to-end multi-cloud agentic AI solutions and mentoring engineers transitioning from RPA to agentic AI.
Demonstrated fluency in RAG systems, multi-agent coordination, and vector database schema design with a strong background in scalable cloud-native backend services.
Comfortable operating across heterogeneous enterprise IT stacks (Oracle, Azure, Pega, ServiceNow) and invested in problem-solving within healthcare operations and compliance context.