This high-level leadership role (8–10 years) focuses on architecting the "Autonomous Editorial Office." You will lead the technical transformation of a publishing giant, turning static content into a dynamic, AI-native ecosystem using AWS Serverless and Agentic AI.
Technical Core
Agentic Publishing Designing autonomous AI workflows for automated metadata tagging, SEO optimization, and content synthesis using frameworks like LangGraph or CrewAI.
Content Engineering Leading enterprise Python/Airflow ETL pipelines to ingest and normalize global manuscripts, archives, and digital assets.
Serverless API Architecture Architecting high-scale content delivery via AWS AppSync (GraphQL) and DynamoDB to support millions of concurrent readers.
Data Intelligence Merging RAG (Retrieval-Augmented Generation) with vector databases to allow AI agents to "reason" across the entire publication catalog.
Key Responsibilities
Architectural Vision Defining the end-to-end flow of content—from raw ingestion (Airflow) to intelligent API consumption (AppSync) to autonomous action (Agentic AI).
AI Leadership Moving beyond straightforward LLM integration to build self-correcting agents that handle fact-checking, distribution, and content enrichment.
Mentorship & Standards Elevating senior engineering talent and setting the bar for "Infrastructure as Code," security, and AI ethics within the media space.
Scalability & Performance Ensuring the platform survives "Breaking News" traffic spikes through expert-level DynamoDB modeling and serverless optimization.
Expertise in
Technical leadership / tech lead capability
Python / Airflow / ETL / data pipelines
Data pipelines / ETL / infrastructure engineering
GraphQL / AWS AppSync / DynamoDB
Agentic AI / AI-powered analytics & automation
📌 AI Architect (Bengaluru)
🏢 Virtusa
📍 Bengaluru
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