Remote AWS Solutions Architect - AI/ML & Data

Cloudelligent; Richmond (VA); Remote; USD 140,000 - 190,000; Full time

Job summary

Cloudelligent is seeking an AWS Solutions Architect focused on AI/ML to design scalable cloud solutions, modernize applications, and lead data-driven deployments for clients. You will work across cloud modernization, data engineering, and AI/ML integration using AWS technologies.

You will engage with clients, drive pre-sales discussions, and help ensure architectures are secure, cost-efficient, and scalable across regions while aligning with business goals.

Qualifications

• 8+ years of experience designing, building, and operating solutions on AWS.
• Strong understanding of AWS Well-Architected best practices for modernization, data solutions, and AI/ML workloads.
• Experience with AWS services including SageMaker, Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.

Responsibilities

• Architect cloud-native solutions and lead app modernization to migrate legacy apps to AWS.
• Design and implement cloud solutions integrating data engineering, Generative AI, and ML to improve operations and automation.
• Lead pre-sales discussions and collaborate with sales to tailor AI/data-driven cloud solutions.
• Guide clients in scalable, secure, and cost-optimized architectures meeting business goals.
• Lead architecture sessions proposing Well-Architected data pipelines and modern tech for AI/ML apps.
• Define cloud governance frameworks ensuring compliance with AWS security and privacy standards.
• Coordinate with delivery teams to ensure smooth knowledge transfer from pre-sales to delivery.

Skills

AWS architecture

Pre-sales experience

Cloud modernization

Tools

Terraform

CloudFormation

Docker

ECS

EKS

SageMaker

Bedrock

Redshift

Glue

Kinesis

Athena

Job description

Cloudelligent is seeking an AWS Solutions Architect focused on AI/ML to design scalable cloud solutions, modernize applications, and lead data-driven deployments for clients. You will work across cloud modernization, data engineering, and AI/ML integration using AWS technologies.

You will engage with clients, drive pre-sales discussions, and help ensure architectures are secure, cost-efficient, and scalable across regions while aligning with business goals.