Senior Data Engineer; GenAI​/AWS

Duration: 3+ Months (Extension Possible)

Work Arrangement:
Hybrid - 2 days onsite
Locals Only

Visa: H1B/ /GC/GC-EAD/H4

EAD (Need PP no for travel History) USC

Linked In should match the resume dates, projects and should be created before 2021 and have photograph and location mentioned

2 Manager references with Linked In

12 years of profile

Experience 10 years Cloud Platform: AWS Primary Language:
Python

Key Responsibilities

• Design and develop data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
• Build automated document-processing workflows for extracting, transforming, and processing structured and unstructured data.
• Implement document chunking, embeddings, vector indexing, and semantic search.
• Develop and maintain vector databases and knowledge bases to support Retrieval-Augmented Generation (RAG).
• Integrate knowledge bases with AI agents for contextual information retrieval.
• Build AI agents using Claude Agent SDK and deploy them on Amazon Bedrock Agent Core Runtime.
• Develop CI/CD pipelines using Git Hub Actions to automate builds, testing, and deployments.
• Optimize data pipelines for scalability, reliability, security, and performance.

Must-have vs. good-to-have skills

Must-have

Good-to-have

Python, SQL

Type Script

AWS Step Functions, Lambda, S3

AWS Glue

Amazon Textract and Comprehend

Document AI / OCR

Vector databases and embeddings

Document chunking and indexing

Advanced retrieval and reranking

RAG and knowledge-base integration

Amazon Bedrock

Git Hub Actions CI/CD

Terraform / AWS CDK

AWS IAM and API integrations

Agent Core Runtime

Important:
If this individual must personally build and deploy the Claude agents, move Claude Agent SDK and Agent Core Runtime into the must-have category.

$000,000 – $000,000 Salary range is not shown on the candidate portal