Large Language Model Architect
Coimbatore
Posted 2d ago
Job Location
Coimbatore
Tech Stack
Remote Work Policy
On-site
Categories
LLM Engineer
About the job
We are seeking a Large Language Model Architect to lead the technical vision and implementation of end-to-end AI architecture on Snowflake. This role involves owning the complete AI platform, encompassing classical machine learning, generative AI, LLM applications, RAG, agentic systems, and more. You will operate at an executive level, translating business goals into a coherent technical strategy and a phased AI implementation roadmap. Practical industry experience is crucial to ensure AI architectures address domain realities, regulatory expectations, and measurable business outcomes. You will also lead and integrate work across multiple domain architects and subject matter specialists, ensuring the overall AI solution is cohesive and enterprise-ready.
Responsibilities
- Partner with CIOs, CTOs, and business leaders to shape enterprise AI strategy and create technical roadmaps.
- Lead enterprise AI architecture assessments, target-state definition, and platform selection.
- Define Snowflake-native AI platforms, including Cortex-based agents, RAG, and analytics architectures.
- Own the end-to-end technical solution for complex AI platforms, aligning domains to business objectives and enterprise standards.
- Define architectural direction for model- and tool-agnostic multi-agent systems.
- Establish the enterprise context layer architecture, including knowledge graphs, vector search, and semantic retrieval.
- Set security, governance, observability, performance, and reliability standards across AI solution domains.
- Mandate productized evaluation and observability practices for AI solutions.
- Drive architecture decisions for high-throughput, low-latency inference and production-ready deployment platforms.
- Produce and own authoritative architecture artifacts such as blueprints and design specifications.
Requirements
- Bachelor's degree or equivalent in Computer Science, Computer Engineering, Data Science, AI/ML, Information Technology, or a related engineering discipline.
- Minimum 12+ years of overall experience in software engineering, data engineering, AI/ML engineering, cloud architecture, or enterprise technology architecture.
- Minimum 8+ years of experience designing and deploying enterprise-grade advanced AI, data, analytics, or cloud-native solutions.
- Minimum 2+ years of experience in LLM and generative AI solution architecture, including agentic AI, RAG, prompt engineering, and model integration.
- Minimum 2+ years of experience architecting and operationalizing LLM-driven application architecture patterns in production or enterprise-scale environments.
- Minimum 6+ years of experience in engineering, machine learning, deep learning, NLP solutions, data engineering, or large-scale analytical engineering applications.
- Demonstrated experience as a senior architect in industry domains such as banking, insurance, retail, healthcare, travel, logistics, or telecom.