Remote Data & AI FDE — Enterprise Cloud Architect

RevStar Consulting Inc

Florida

Remote

USD 145,000 - 210,000

Full time

4 days ago

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Benefits offered by this job

Paid Time Off

Remote-First Working Environment

Comprehensive Health Coverage

401(k) Retirement Plan

Annual Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Activities

Collaborative, Innovative Culture

Job summary

RevStar Consulting Inc. is seeking a Data & AI Forward Deployed Engineer (FDE) to join our Digital Solutions Practice.

You will embed at the intersection of cloud architecture, hands-on engineering, and client-facing delivery, owning full delivery lifecycles for high‑impact accounts and guiding deep AWS GenAI implementations. You will architect resilient cloud environments, modernize legacy infrastructure, and drive AWS adoption across enterprise clients, partnering with executives and

Qualifications

6+ years in Cloud Architecture, DevOps/SRE, or software eng on AWS.
3+ years in a client-facing consulting or Forward Deployed Engineering role.
Deep AWS core services knowledge (IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudFront, Route 53).
Infrastructure as Code (IaC) & CI/CD: Terraform, AWS CDK, CloudFormation; automated CI/CD pipelines.
AWS GenAI & Data Services: Bedrock, SageMaker, Glue, Redshift, OpenSearch.
AWS Certifications: Architect and/or DevOps required; specialties are a plus.

Responsibilities

Hands-On Cloud Architecture & Implementation: design, build, deploy secure, scalable AWS architectures using IaC and microservices/serverless patterns.
Enterprise Customer Delivery: lead technical delivery for strategic enterprise client engagements with C‑level stakeholders.
Cloud Migration & Application Modernization: migrate on-prem to AWS and modernize legacy apps into serverless or containerized forms.
AWS GenAI & ML: architect and deploy GenAI/ML workloads using Bedrock, SageMaker, OpenSearch, and related tools.
Drive Platform Adoption & Growth: identify high-value workloads and drive AWS consumption with client leadership.
Technical Mentorship & Practice Building: mentor engineers, drive accelerators and best practices.