Description

Design and implement scalable AI/ML architectures, cloud governance, and data platforms on AWS.

This role is on-site.

Responsibilities

• Design architectural frameworks for scaling LLMs, Generative AI, and predictive analytics pipelines.
• Lead AWS cloud governance, optimizing VPC design, serverless Lambda architectures, and FinOps cost controls.
• Transform legacy data silos into modern Data Lakehouse or Data Mesh structures for real-time business intelligence.
• Establish AI security guardrails, ensuring strict adherence to data privacy and AWS IAM/GuardDuty protocols.

Required Skills

• 5+ years of experience in AI/ML architecture and engineering.
• Deep proficiency in AWS ecosystem: S3, SageMaker, Redshift, Glue, Bedrock, and EKS.
• Experience with data frameworks: Snowflake, Databricks, or Apache Spark for large-scale processing.
• Strong background in Infrastructure as Code (Terraform or AWS CloudFormation).
• Familiarity with AI frameworks: PyTorch, TensorFlow, or LangChain for enterprise integration.
• Proven track record of moving AI projects from Proof of Concept to full-scale enterprise production.

Preferred Skills

• AWS Certifications (Solutions Architect – Professional or Data Engineer).
• Experience handling Petabyte-scale data and complex ETL/ELT processes.

Key Skills

Education

Any Gradute