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

Valuable to have skills : Snowflake Data Warehouse

Minimum 18 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

Lead / Senior Architect in AI LLM Technology Architecture , serving as the definitive technical authority for end-to-end AI architecture on Snowflake.
Own the complete AI platform architecture spanning classical machine learning, generative AI, LLM applications, RAG, agentic systems, context engineering, model platforms, inference and enterprise AI integration.
Operate at executive and senior stakeholder level, connecting business goals, industry priorities and transformation agendas to a coherent technical vision and sequenced AI implementation roadmap.




Bring practical industry experience in banking, insurance, retail, healthcare, travel, logistics or telecom to ensure AI architectures address domain realities, regulatory expectations, security constraints, operational processes and measurable business outcomes.
Lead and integrate work across multiple domain architects and subject matter specialists, resolving cross-domain design decisions and ensuring the full AI solution is cohesive, technically sound and enterprise-ready.

Key Responsibilities

Partner with CIOs, CTOs, business leaders and delivery stakeholders to shape enterprise AI strategy and convert business priorities into phased technical roadmaps.
Lead enterprise AI architecture assessments, target-state definition, gap analysis, platform selection, modernization opportunities and implementation sequencing.
For Snowflake, set the enterprise direction for Snowflake-native AI platforms define Cortex-based agent, RAG, document inte

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