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 : Large Language Models (LLMs)
Valuable 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
- Lead / Senior Architect in AI LLM Technology Architecture, serving as the definitive technical authority for end-to-end AI architecture on Databricks.
- 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 financial services, healthcare, manufacturing, retail, telecom or life sciences 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 Databricks, set the enterprise direction for lakehouse-native AI p

📌 Large Language Model Architect (Pune)
🏢 Accenture
📍 Pune