Data & AI Engineer Forward Deployed Engineer

RevStar; EE. UU.; A distancia; USD 124.000 - 207.000; A tiempo parcial

Descripción de la vacante

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

Formación

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

Responsabilidades

• 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.

Conocimientos

Cloud architecture

DevOps/SRE

Client-facing consulting

Solution design

Executive stakeholder communication

Mentorship

Strategic cloud adoption

Herramientas

Terraform

AWS CDK

CloudFormation

GitHub Actions

GitLab CI

AWS CodePipeline

Amazon Bedrock

SageMaker

OpenSearch

ECS/EKS

API Gateway

Descripción del empleo

Build What Matters at RevStar

Position:Data & AI Forward Deployed Engineer

• Reports To:Product Manager/Engineering Lead
• Location: Remote
• Employment Type:Contract

Job Summary

At RevStar, we build cutting-edge cloud, data, and Generative AI solutions that transform how enterprise organizations operate. As an Advanced AWS Consulting Partner, we don’t just deliver code—we solve complex business problems, modernize legacy infrastructure, and deploy production-grade cloud native and AI applications that drive real business value. Above all, our team operates on three core principles:

• Self-Mastery:We hold a high bar for how we think, communicate, and improve.
• Ownership:We own outcomes, not just effort.
• Shared Destiny:We rise or fall together.

We are seeking a Data & AI Forward Deployed Engineer (FDE) to join our Digital Solutions Practice. In this highly visible role, you will operate embedded directly at the intersection of enterprise cloud architecture, hands‑on engineering, and client‑facing delivery. As an FDE, you are both a master cloud builder and a trusted technical advisor. You will own the full delivery lifecycle for high‑impact enterprise accounts—architecting resilient cloud‑native environments, modernizing legacy infrastructure, and deploying state‑of‑the‑art AWS Generative AI (Amazon Bedrock, Q, SageMaker) architectures. Simultaneously, you will drive AWS adoption and consumption growth by identifying new workloads, building POCs, and driving strategic technical alignment with client executive leadership.

Key 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.

Qualifications & RequirementsJob Summary:

• 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.

Client & Business Acumen:

• Enterprise Track Record: Proven experience leading technical delivery for Fortune 500 or mid‑market enterprise clients (Healthcare, Financial Services, Retail, or SaaS).
• Consulting & Communication Skills: Outstanding verbal and written communication; adept at whiteboarding complex architectures, building working POCs/demos, and presenting to C-level executives.
• Growth Mindset: Ability to spot technical expansion opportunities, conduct AWS Well‑Architected Reviews, and advocate for cloud modernization to expand account footprint.
• Remote‑First Working Environment– Collaborate from anywhere while staying connected with our global team.
• Collaborative, Innovative Culture– Work alongside top talent in a fast‑paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [e-mail].