Remote Data & AI Forward-Deployed Engineer

RevStar Consulting Inc; Mexico; Remote; MXN 2,247,000 - 3,370,000; Part time

Job summary

RevStar Consulting Inc is hiring a Data & AI Forward Deployed Engineer. You will operate at the intersection of enterprise cloud architecture, hands-on engineering, and client-facing delivery, owning full delivery lifecycles for high-impact accounts.

You will architect resilient AWS environments, modernize legacy infra, and deploy state-of-the-art Generative AI solutions while identifying new workloads and driving strategic alignment with client leadership.

Qualifications

• 6+ years of hands-on experience in Cloud Architecture, DevOps/SRE, or Software Engineering focused on AWS.
• 3+ years in client-facing consulting, Solutions Architecture, or Forward Deployed Engineering.
• Mastery across core AWS services (IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB).

Responsibilities

• Hands-On Cloud Architecture & Implementation: design, build, deploy secure, scalable AWS architectures with IaC and microservices/serverless patterns.
• Enterprise Delivery: lead technical engagements, translate goals into high-performing AWS solutions for executives.
• Cloud Migration & Modernization: migrate from on-prem or legacy apps to modern serverless or containerized architectures.
• GenAI & ML: architect and deploy enterprise GenAI workloads using Bedrock, SageMaker, and related data services.
• Growth & Mentorship: drive platform adoption, build accelerators, mentor engineers and architects.

Skills

AWS Core Expertise

Cloud Architecture

Client-facing Delivery

Leadership / Mentorship

GenAI / Data Services

Tools

Terraform

AWS CDK

CloudFormation

GitHub Actions

GitLab CI

AWS CodePipeline

Job description

RevStar Consulting Inc is hiring a Data & AI Forward Deployed Engineer. You will operate at the intersection of enterprise cloud architecture, hands-on engineering, and client-facing delivery, owning full delivery lifecycles for high-impact accounts.

You will architect resilient AWS environments, modernize legacy infra, and deploy state-of-the-art Generative AI solutions while identifying new workloads and driving strategic alignment with client leadership.