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 : Google Cloud Data Services

Good to have skills : Large Language Models (LLMs)

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

• Experienced and senior AI/LLM Technology Architecture Engineer, responsible for designing and delivering end-to-end AI platform architectures on GCP.
• Own the technical architecture for up-to-date AI systems spanning classical machine learning, generative AI, LLM applications, RAG, agentic workflows and enterprise AI platform integration.
• Act as the technical authority for one or more architecture domains such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, model platforms and inference.




• Bring practical industry experience in financial services, healthcare, retail, manufacturing, telecom or media to shape domain-grounded solutions, define controls, and ensure the AI architecture aligns with real business processes and enterprise standards.

Key Responsibilities

• Translate business strategy and product goals into a technical vision, architecture blueprint, non-functional requirements and implementation roadmap.
• Lead stakeholder workshops to align on feasibility, project scope, solution boundaries, delivery dependencies and client-facing expectations.
• For GCP, define GCP GenAI reference architecture select Gemini and Model Garden patterns design grounding, RAG and tool-calling architectures using BigQuery, Vertex AI Search and vector stores define governance, evaluation and observability controls for enterprise-grade agent deployments on Cloud Run or GKE.
• Architect model and tool agnostic multi-

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