Job Description

Experience

·         12+ years of experience in enterprise architecture, solution architecture, or cloud-native platform architecture.

·         5+ years of hands-on AWS architecture experience for production-scale enterprise systems.

·         3+ years of experience with Generative AI, RAG, LLM-based applications, or enterprise knowledge platforms.

Core Technical Skills

·         AWS solution architecture, multi-region deployment, microservices, container platforms, APIs, and serverless architecture.

·         Amazon Bedrock, SageMaker, OpenSearch, S3, Lambda, ECS/EKS, API Gateway, DynamoDB, Aurora, CloudFront, and related AWS services.

·         Infrastructure as Code using Terraform or CloudFormation, CI/CD, cloud security, and operational monitoring.

·         Vector databases, embeddings, semantic search, knowledge graphs, prompt engineering, and LLMOps concepts.

Domain Knowledge

·         Strong understanding of multi-modal AI architectures, enterprise content platforms, data governance, and integration patterns.

·         Ability to translate business requirements into scalable, secure, and cost-effective cloud architecture.

·         Experience working with global stakeholders, distributed delivery teams, and enterprise architecture review boards.

Preferred Skills / Certifications

·         AWS Certified Solutions Architect - Professional.

·         AWS Certified Machine Learning - Specialty or equivalent GenAI/ML certification.

·         AWS Certified Security - Specialty.

·         Experience with GraphRAG, agentic AI frameworks, knowledge graphs, and enterprise document intelligence.

·         Experience designing SaaS-style knowledge platforms or shared AI services for multiple business units.