Associate AI Architect

About the role

In this role, you’ll lead end-to-end AI solution architecture—from PoC to enterprise-scale production, drive cloud security and scalability best practices, and work closely with multiple clients and internal delivery teams. If you love architecting robust systems, mentoring engineering teams, and building GenAI solutions that actually ship—we’d love to hear from you.

What you'll do

• Review current AWS architecture patterns used across projects
• Own the architecture of AI/ML and GenAI solutions end-to-end: requirement analysis
• Design multi-tenant, enterprise-grade AI systems using AWS services such as: SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS/Fargate, S3, OpenSearch
• Implement best practices for: MLOps + model lifecycle
• Drive Conversational AI / RAG implementations: embeddings & retrieval strategies

What you need

• 6–11 years in data science & ai
• Machine learning
• Business analysis
• AWS
• LLMs
• Elasticsearch
• DynamoDB
• Any graduate

Good to have

• Prompt engineering
• TensorFlow
• PyTorch
• CI/CD
• GraphQL
• GCP