AWS GenAI Data Engineer

Location:

Charlotte, NC

Work Arrangement:
Hybrid/Onsite - Charlotte, NC

Client:
Cognizant

Employment Type:

W2

Billing Rate: $60-$65/hr W2

Visa:
Any visa status is acceptable

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.

AWS Gen AI data engineer -

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.

Cloud Expertise (AWS):
Deep, hands‑on expertise with core AWS data and AI services, including Amazon Bedrock, Amazon Bedrock Agent Core, Amazon Quick Suite, S3, AWS Glue, EMR, Athena, IAM, and Lambda.

GenAI & Vector Tooling:
Practical familiarity with LLMs, prompt patterns, embeddings, vector databases (e.g., Open Search Serverless, Pinecone, or PostgreSQL with pgvector), and RAG frameworks.

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).

AI‑Assisted Engineering:
Experience utilizing developer tools and frameworks like Kiro for accelerated pipeline building, debugging, and automated code generation.

Programming & Frameworks:
Advanced proficiency in Python and SQL, alongside distributed data processing frameworks like PySpark or Databricks.

Orchestration & Dev Ops:
Hands‑on experience with workflow orchestrators (Airflow) and CI/CD automation pipelines (Git Hub Actions, Git Lab, or AWS Code Pipeline).