Overview

We are looking for a senior AWS Data AI Architect to lead front-end technical solutioning for AI Data opportunities across the LATAM region.

The architect will work closely with regional sales, presales, delivery, and customer stakeholders to understand business requirements, shape solution approaches, lead technical discussions, and support PoCs and proposal development.

Responsibilities
Lead technical discovery and solutioning discussions with customers
Translate business requirements into scalable AWS Data and AI architectures
Define solution architecture, technology stack, integration approach, security, and deployment model
Develop architecture diagrams, solution documents, effort estimates, assumptions, dependencies, and technical proposals
Lead or support PoCs, technical demonstrations, and solution validation exercises
Collaborate with sales and bid teams during RFP/RFI responses and proposal development
Provide technical guidance to delivery teams during project initiation and transition
Present solutions confidently to customer architects, engineering teams, and senior stakeholders
Identify reusable solution patterns and accelerators for the LATAM AI Data portfolio




Travel to customer locations within the LATAM region when required

Requirements
Solid expertise in AWS Data and Analytics services, including S3, Glue, Redshift, EMR, Athena, Lake Formation, Kinesis, Lambda, RDS, DynamoDB, Step Functions, QuickSight, IAM, and CloudWatch.
Robust Python programming skills for data engineering, automation, APIs, analytics, and AI/ML use cases.
Experience designing contemporary data platforms, data lakes, lakehouse solutions, ETL/ELT pipelines, data governance, data quality, and analytics architectures.
Hands-on experience with Amazon Bedrock, foundation models, Knowledge Bases, Guardrails, Agents, and Generative AI solution patterns.
Valuable understanding of Agentic AI, multi-agent orchestration, RAG, vector databases, prompt engineering, and LLM evaluation.
Experience designing secure, scalable, resilient, and cost-optimized AWS architectures.
Knowledge of APIs, microservices, event-driven architectures, and enterprise integration patterns.
Ability to estimate delivery effort, infrastructure requirements, and AWS consumption costs.

📌 Aws Data & Ai Solution Architect Latam Chennai
🏢 Prodapt Solutions
📍 Chennai