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
Strong 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.
Strong Python programming skills for data engineering, automation, APIs, analytics, and AI/ML use cases.
Experience designing modern 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.
Good 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.