Solution Architect

Responsibilities

• Design and deliver enterprise-grade, scalable cloud-native architectures on AWS, including batch processing and real-time streaming patterns.
• Drive the organization's AI strategy by architecting Generative AI solutions, LLM integrations, and AI-powered application designs.
• Build and deploy MCP (Model Context Protocol) servers and AI Agents across the full development lifecycle.
• Design robust end-to-end data pipelines using AWS Glue, Athena, EMR, Kinesis, and Kafka.
• Architect scalable data storage solutions using NoSQL databases like DynamoDB and MongoDB, alongside Data Warehouse technologies.
• Ensure all solutions adhere to strict security, compliance, and governance frameworks, implementing robust encryption and API security (OAuth 2.0).
• Lead Proof of Concept (POC) engagements to validate emerging technologies and architectural approaches.
• Champion DevOps excellence through Infrastructure as Code (IaC) using Terraform or AWS CDK and automated CI/CD pipelines.

Requirements

• Proven experience as a Senior Solution Architect within a large-scale, regulated enterprise environment.
• Deep hands-on expertise with AWS services (EC2, S3, Lambda, Glue, Athena, Kinesis, Redshift, DynamoDB, etc.).
• Demonstrated experience designing and deploying AI/ML and Generative AI applications on AWS.
• Practical experience building and deploying MCP servers and AI Agents.
• Strong knowledge of API security protocols, including OAuth 2.0, OpenID Connect, and JWT.
• Experience designing enterprise-scale batch and streaming data pipelines.
• Proficiency with IaC tools such as Terraform or AWS CDK.
• Working knowledge of NoSQL databases and Data Warehouse technologies.

Preferred Qualifications

• Experience with multi-agent frameworks such as LangGraph, AutoGen, or CrewAI.
• Familiarity with vector databases (Pinecone, OpenSearch, pgvector) for RAG-based architectures.
• Knowledge of data mesh or data fabric architectural patterns.
• AWS professional certifications (Solutions Architect Professional, Data Engineer, or AI/ML Specialty).

About the Company

Experian is a global data and technology company that powers opportunities for people and businesses worldwide. We use a unique combination of data, analytics, and software to redefine lending, prevent fraud, and simplify healthcare. With a team of 22,500 people across 32 countries, we invest heavily in advanced technologies to unlock the power of data.