IN_Senior Associate_AI/Agentic Platform_GCC_Advisory_Hyderabad
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level experience, metro location; niche specialization reduces but doesn't eliminate competition.
Highly specialized agentic AI, multi-cloud integration, and healthcare compliance skills limit cross-industry transferability.
Explicit 5–8 years requirement plus many mandatory specialized agentic, cloud, and integration skills raises strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement multi-cloud, cloud-native agentic AI systems integrating Azure AI, Oracle Agentic Studio, and open-source Python frameworks.
Architect and deploy scalable microservices, serverless functions, and containerized workloads, ensuring integration with enterprise platforms like Oracle ERP/HCM, Pega, and ServiceNow.
Lead cross-skilling and mentorship efforts, guide RPA-to-agentic migration, and document architecture & solution patterns within healthcare domain contexts.
Minimum Requirements
5-8 years of proven cloud engineering experience with advanced architectural skills in Azure and/or AWS.
Minimum 3 years hands-on experience delivering production-level agentic AI solutions, including RAG pipelines, multi-agent systems, and LLM evaluation.
Bachelor's or Master's degree in Engineering (Bachelor of Engineering or Master of Engineering).
Strong Python expertise with FastAPI, async programming, and maintainable code practices; familiarity with Terraform and container orchestration (Docker, Kubernetes).
Ideal Candidate Profile
Experienced in cloud-agnostic agentic AI engineering able to integrate across Oracle, Azure, Pega, and ServiceNow ecosystems.
Capable of independently architecting complex multi-agent AI systems with strong vector database and RAG system design skills.
Demonstrates leadership by mentoring peers, driving end-to-end delivery, and possessing curiosity about healthcare operational challenges.