AWS Cloud Architect - AI/ML & Data Integration Expert

Saransh Inc; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

Saransh Inc. is seeking an experienced IT architect with a strong AWS background and AI/ML awareness. The role focuses on designing secure data ingestion and warehousing architectures, leveraging AWS analytics and serverless services, and collaborating with Agile teams to ensure high-quality solutions.

The ideal candidate has 8–10 years in IT and is proficient with AI/ML capabilities and integration patterns, along with strong communication skills and experience with data standards.

Qualifications

• Bachelor's Degree in a related field (Computer Science, AI/ML).
• 8 to 10 years of IT and business/industry development experience.
• 2 to 4 years of AI/ML knowledge (not a data scientist but knowledge on AI/ML capabilities, patterns and integrations).

Responsibilities

• Collaborate with Agile teams to recommend architectures with high quality and software standard methodologies.
• Contribute to security, ingestion, warehousing, and storage data standards across projects.
• Leverage AWS cloud technologies and services to design scalable solutions.
• Partner with analytics and integration teams to deliver on AI/ML use cases.

Skills

Data standards knowledge

AWS Cloud design/architecture

AWS product categories

Strong communication

Education

Bachelor's Degree in Computer Science or related field

Tools

Matillion

Pentaho

Datastage

Apigee

JSON

RESTful services

Python

R

Docker

Kubernetes

OpenShift

Ansible

Nexus

Chef

Puppet

Jenkins

Git

GitHub

Job description

Saransh Inc. is seeking an experienced IT architect with a strong AWS background and AI/ML awareness. The role focuses on designing secure data ingestion and warehousing architectures, leveraging AWS analytics and serverless services, and collaborating with Agile teams to ensure high-quality solutions.

The ideal candidate has 8–10 years in IT and is proficient with AI/ML capabilities and integration patterns, along with strong communication skills and experience with data standards.