Remote Data & AI Cloud Engineer - Forward Deployed

RevStar; United States; Remote; USD 124,000 - 207,000; Part time

Job summary

RevStar is seeking a Data & AI Forward Deployed Engineer to join our Digital Solutions Practice. In this highly visible role, you will embed at the intersection of enterprise cloud architecture, hands-on engineering, and client-facing delivery, owning the full delivery lifecycle for high-value accounts.

You will architect resilient cloud-native environments on AWS, modernize legacy infrastructure, and deploy GenAI workloads using Bedrock and SageMaker, while identifying new workloads and driving

Qualifications

• 6+ years in Cloud Architecture, DevOps/SRE, or Software Engineering with AWS focus.

Responsibilities

• Hands-On Cloud Architecture & Implementation: Design, build, and deploy secure, scalable AWS architectures using IaC and modern patterns.
• Enterprise Customer Delivery: Lead technical engagements with CIOs/CTOs and client teams to translate goals into AWS solutions.
• Cloud Migration & Application Modernization: Lead migrations to AWS and re-architect legacy apps to serverless/containers.
• AWS Generative AI & Machine Learning: Architect and deploy GenAI/ML workloads with Bedrock, SageMaker, and vector DBs.
• Drive Platform Adoption & Growth: Identify high-value workloads and drive AWS consumption growth with clients.
• Technical Mentorship & Practice Building: Mentor engineers, build reusable Terraform modules, and promote best practices.

Skills

Cloud architecture

DevOps/SRE

Client-facing consulting

Solution design

Executive stakeholder communication

Mentorship

Strategic cloud adoption

Tools

Terraform

AWS CDK

CloudFormation

GitHub Actions

GitLab CI

AWS CodePipeline

Amazon Bedrock

SageMaker

OpenSearch

ECS/EKS

API Gateway

Job description

RevStar is seeking a Data & AI Forward Deployed Engineer to join our Digital Solutions Practice. In this highly visible role, you will embed at the intersection of enterprise cloud architecture, hands-on engineering, and client-facing delivery, owning the full delivery lifecycle for high-value accounts.

You will architect resilient cloud-native environments on AWS, modernize legacy infrastructure, and deploy GenAI workloads using Bedrock and SageMaker, while identifying new workloads and driving