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 : Databricks Unified Data Analytics Platform

Minimum 15 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 Databricks.
Own the technical architecture for modern 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, manufacturing, retail, telecom or life sciences 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 Databricks, define lakehouse-centric LLM architecture design governed RAG and agent systems using Delta Lake, Unity Catalog and Vector Search define MLflow evaluation and tracing standards establish deployment architecture through Model Serving, Workflows and monitoring for auditable, scalable GenAI products.
Architect model and tool agnostic m

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