AI Solution Architect

The AI Architect will be responsible for architecting, designing, and delivering enterprisescale AI and Generative AI platforms. This role focuses on building AInative, scalable, secure, and compliant solutions, leveraging GenAI, Agentic AI, decision intelligence, and data platforms to enable intelligent, automated, and explainable business outcomes.

The architect will work closely with business stakeholders, product teams, data engineers, and platform teams to translate AI strategy into productionready architectures.

Key Responsibilities

AI & Solution Architecture

Define and own endtoend AI architecture for enterprise solutions, from data ingestion to AIdriven decisioning and insights.

Design AInative platforms where GenAI and ML capabilities are embedded as core services, not boltons.

Establish modular, reusable, and composable AI components aligned to enterprise architecture standards.

Ensure scalability, performance, reliability, and security of AI systems in production.

GenAI & Agentic AI

Architect Generative AI solutions, including:

Large Language Models (LLMs)

RetrievalAugmented Generation (RAG)

Multiagent and agentorchestration patterns

Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms.

Guide responsible selection and usage of cloudbased and opensource LLMs.