Project Role : Large Language Model Architect

Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.

Must have skills : Generative AI

Positive to have skills : Google Cloud Data Services

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary / Description

Engineer role in AI LLM Technology Architecture. Hands-on engineering role focused on designing, building, integrating, testing and operationalizing enterprise-grade LLM, GenAI and agentic AI components across active client engagements.

Own platform-specific engineering on GCP, translating high-level architecture into working, production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows and AI platform integrations.

Bring practical industry experience in financial services, healthcare, retail, manufacturing, telecom or media to identify domain data, process constraints,



controls and adoption risks while designing GenAI solutions that are safe, scalable and relevant.

Operate as a hands-on technical lead or engineering lead, contributing code, design decisions, reusable patterns and engineering documentation.

Key Responsibilities

Design and build LLM application components including prompts, tools, agents, orchestration flows, memory/context handling, retrieval pipelines and evaluation harnesses.

Build Gemini-powered LLM applications and agents implement grounding/RAG with BigQuery, Vertex AI Search and vector stores orchestrate tool calling and event-driven workflows evaluate model output quality and deploy AI services on Cloud Run or GKE.

Implement data ingestion, parsing, chunking, enrichment, embeddings, vector search and retrieval workflows for structured and unstructured enterprise content.

Engineer safety and control components including PII detection/redaction, pro

📌 Large Language Model Architect (Bengaluru)
🏢 Accenture in India
📍 Bengaluru