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# AWS GenAI Data Engineer

- **Company:** Stratedge It Consulting Inc
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Code Generation, Computer Programming, Information Engineering, Extract Transform Load (ETL), Software Debugging, DevOps, Programming Tools, Distributed Computing Environment, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Systems Development Life Cycle, Cloud Services, SQL Databases, Apex Code, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Electronic Medical Records, Generative AI, Gitlab, Database Migration, AI Platforms, Pyspark, AWS Glue, AWS Data Analytics, Virtual Agents, Serverless Computing, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.careerjet.com/jobad/us52a7bac45d9d2043766131eadac7a7b0

## About the Role

ü Experience: 5+ years of professional experience in data engineering, with at least 2+ years explicitly focused on designing data foundations for ML and Generative AI use cases.
ü Cloud Expertise (AWS): Deep, hands-on expertise with core AWS data and AI services, including Amazon Bedrock, Amazon Bedrock Agent Core, Amazon QuickSuite, S3, AWS Glue, EMR, Athena, IAM, and Lambda.
ü GenAI & Vector Tooling: Practical familiarity with LLMs, prompt patterns, embeddings, vector databases (e.g., OpenSearch Serverless, Pinecone, or PostgreSQL with pgvector), and RAG frameworks.
ü Agentic Frameworks & Specialized Delivery Agents: Hands-on experience with multi-agent orchestration via ASTRA, project/SDLC automation through AIFlow Apex, database migration automation using Proserve DBM Apex, and ETL modernisation via Apex Delivery Agent (Informatica to AWS Glue).
ü AI-Assisted Engineering: Experience utilizing developer tools and frameworks like Kiro for accelerated pipeline building, debugging, and automated code generation.
ü Programming & Frameworks: Advanced proficiency in Python and SQL, alongside distributed data processing frameworks like PySpark or Databricks.
ü Orchestration & DevOps: Hands-on experience with workflow orchestrators (Airflow) and CI/CD automation pipelines (GitHub Actions, GitLab, or AWS CodePipeline).

## Description

We are seeking an experienced AWS GenAI Data Engineer to design, build, and optimize scalable data foundations supporting Machine Learning, Generative AI, LLM, and Agentic AI use cases., Job Description In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by docum…

 + 21 days ago


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