Remote Data & AI Forward Deployed Engineer (AWS GenAI)

RevStar; Tallahassee (FL); Remote; USD 120,000 - 180,000; Full time

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 Opportunit

Collaborative, Innovative Culture

Job summary

RevStar is seeking a Data & AI Forward Deployed Engineer (FDE) to join our Digital Solutions Practice. You will operate at the intersection of enterprise cloud architecture, hands‑on engineering, and client delivery, owning end‑to‑end AWS solutions and GenAI architectures for high‑impact accounts.

You will lead migrations, modernize legacy apps, and drive AWS adoption while mentoring engineers and shaping architectural best practices across engagements.

Qualifications

• 6+ years of hands‑on experience in Cloud Architecture, DevOps/SRE, or Software Engineering with a focus on AWS.
• 3+ years in a client‑facing consulting, Solutions Architecture, or Forward Deployed Engineering role.
• Deep AWS Core Expertise: Mastery across core AWS services (IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudFront, Route 53).
• Infrastructure as Code (IaC) & CI/CD: Expert-level proficiency in Terraform, AWS CDK, or CloudFormation, along with automated CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline).
• AWS GenAI & Data Services: Practical experience with Amazon Bedrock, SageMaker, Glue, Redshift, or OpenSearch for building data platforms and AI solutions.
• AWS Certifications: AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional required. Specialty certifications (Security, Machine Learning, Data Analytics) are a plus.

Responsibilities

• Hands-On Cloud Architecture & Implementation: Design, build, and deploy secure, scalable, and resilient cloud architectures on AWS using Infrastructure as Code (Terraform, AWS CDK, CloudFormation) and modern microservices/serverless patterns (Lambda, ECS/EKS, API Gateway, DynamoDB).
• Enterprise Customer Delivery: Serve as the primary technical leader on strategic enterprise client engagements. Partner with CIOs, CTOs, VPs of Infrastructure/Engineering, and client development teams to translate complex business goals into high-performing AWS solutions.
• Cloud Migration & Application Modernization: Lead large-scale migrations from on-premises data centers or legacy platforms to AWS (using AWS Application Migration Service, Database Migration Service, etc.) and re-architect legacy monolithic applications into modern serverless or containerized architectures.
• AWS Generative AI & Machine Learning: Architect and deploy enterprise GenAI and ML workloads leveraging Amazon Bedrock, SageMaker, Vector Databases (OpenSearch, Pinecone, pgvector), and custom RAG implementations.
• Drive Platform Adoption & Growth: Partner with RevStar account leadership to identify new, high-value cloud workloads within client accounts, driving AWS consumption expansion and clear ROI for client executive stakeholders.
• Technical Mentorship & Practice Building: Coach and mentor Cloud Engineers and Solutions Architects. Drive internal RevStar accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices.

Skills

Cloud Architecture

Client-Facing Consulting

AWS Core Services

Infrastructure as Code

GenAI & Data Services

AWS Certifications

Tools

Terraform

AWS CDK

CloudFormation

GitHub Actions

GitLab CI

AWS CodePipeline

OpenSearch

Job description

RevStar is seeking a Data & AI Forward Deployed Engineer (FDE) to join our Digital Solutions Practice. You will operate at the intersection of enterprise cloud architecture, hands‑on engineering, and client delivery, owning end‑to‑end AWS solutions and GenAI architectures for high‑impact accounts.

You will lead migrations, modernize legacy apps, and drive AWS adoption while mentoring engineers and shaping architectural best practices across engagements.