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 : Microsoft Azure Data Services

Good to have skills : Large Language Models (LLMs)

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

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 Azure, 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 banking, insurance, healthcare, public sector, retail or energy to identify domain data,



process constraints, controls and adoption risks while designing GenAI solutions that are secure, 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.

Create Foundry-based agents with enterprise tools, knowledge and memory integrate Azure AI Search for RAG implement secure API/tool calls through API Management, Logic Apps and Functions instrument traces, evaluations, guardrails and policy controls for production agents.

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

Engineer safety a

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