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
- 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.
Pay: ₹913,112.47 - ₹2,452,466.70 per year
Work Location: In person
