Jobs → Customer Support → AI Architect with AWS Bedrock Experience

About the Role We are seeking an AI Architect with AWS Bedrock experience to drive agentic use cases from POC to deployment. This role involves designing architectural frameworks for scaling AI and ML models and ensuring best practices in AWS environments. Key Responsibilities • Design the architectural framework for scaling Artificial Intelligence and Machine Learning models • Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps) • Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence • Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed Requirements • Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS) • Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing • Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows • Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation • AWS Certifications (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer) highly preferred • Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes • Experience moving AI projects from "Proof of Concept" (PoC) to full-scale enterprise production