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Gowtham raj

@gowthamraj1

Senior Generative AI Engineer at Accenture building multi-agent assistants and enterprise knowledge retrieval platforms.

India

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What I'm looking for

I'm seeking a Senior Generative AI Engineer role focused on designing and developing scalable AI-powered applications using LLMs, RAG, knowledge graphs, vector databases, and cloud platforms.

At Accenture, I design enterprise AI workflows with LangGraph, coordinating multi-agent reasoning, business rules, and intelligent query processing. I also develop RAG pipelines that connect knowledge graphs, vector databases, and large language models.

For Accenture’s Enterprise Knowledge Graph & GenAI Platform, I built document ingestion and semantic retrieval capabilities using Google Vertex AI Gemini, AlloyDB PGVector, and Google Cloud Storage. I developed FastAPI services for conversational search, document retrieval, and knowledge graph queries.

At Amazon, I developed a Python-based RAG platform for question answering over business documents and knowledge repositories. I built ingestion pipelines and FastAPI services, and optimized retrieval with chunking strategies, Top-K retrieval, and metadata filtering.

At Amazon, I also developed document processing and automation services for classification, summarization, and information extraction. My work included OCR and text-processing pipelines, LLM integrations, and SQL query optimization.

Experience

Work history, roles, and key accomplishments

Current

Packaged App Development Senior Analyst

Current

Accenture

Feb 2025 - Present (1 year 9 months)

Designed and implemented enterprise AI workflows using LangGraph, developed RAG pipelines integrating knowledge graphs and vector databases, and built FastAPI services for conversational search and document retrieval. Integrated Google Vertex AI Gemini models and deployed cloud-native AI applications using Docker and CI/CD.

Python LangGraph Lang Chain RAG Knowledge Graphs Neo4j Vector Databases fastAPI Vertex AI Gemini Docker CI CD Google Cloud Platform Prompt Engineering Multi Agent Systems AlloyDB Pgvector Cloud Storage Langfuse

Ops Support Expert

Amazon

Oct 2019 - Jan 2025 (5 years 3 months)

Designed and developed an enterprise RAG platform for intelligent question answering, built scalable document ingestion pipelines, and developed FastAPI microservices for AI-powered search and knowledge retrieval. Also developed backend services for document understanding and automation, integrating LLMs for summarization and question answering.

AWS Python RAG fastAPI Vector Databases Embeddings Prompt Engineering Document Processing OCR SQL LLM REST APIs Docker Monitoring Logging

Education

Degrees, certifications, and relevant coursework

Bharathiar University

MBA, Business Administration

2020 - 2022

Pursued an MBA from Bharathiar University, Coimbatore, from 2020 to 2022.

Udemy

Professional Certification, Computer Science

Completed multiple professional certifications in SQL, Python, Generative AI, LLM engineering, RAG, LangChain, LangGraph, Google Cloud Vertex AI, and Docker/Kubernetes.