ENTERPRISE ARCHITECT (DATA, AI & AWS)

Key Responsibilities

• Design scalable AI/ML architectures including LLMs, Generative AI, and predictive analytics pipelines.
• Lead AWS Cloud Architecture & Governance with expertise in VPC, Lambda, EKS, FinOps, and cloud security.
• Build modern Data Lakehouse/Data Mesh architectures for real-time analytics and enterprise data platforms.
• Establish AI governance, data privacy, and AWS security best practices.

Required Technical Skills

• AWS Services: S3, SageMaker, Redshift, Glue, Bedrock, EKS
• Snowflake, Databricks, Apache Spark
• PyTorch, TensorFlow, LangChain
• Terraform or AWS CloudFormation (Infrastructure as Code)

Preferred Qualifications

• AWS Certified Solutions Architect – Professional and/or AWS Certified Data Engineer
• Experience with Petabyte-scale data platforms and ETL/ELT architectures
• Proven experience taking AI initiatives from PoC to enterprise production