Senior GenAI Data Engineer — AWS, Remote/Hybrid

Technology Management Solutions LLC; United States; Hybrid; USD 96,000 - 165,000; Full time

Job summary

Technology Management Solutions LLC is seeking a Senior Data Engineer for GenAI on AWS in Los Angeles, CA. Remote/Hybrid engagement on a 3+ month C2C basis, requiring 14+ years of data engineering, AWS, Python, and AI-tech stack.

You will design scalable AI-powered document processing, vector search pipelines, and intelligent agents on AWS with Bedrock and Claude SDK, plus CI/CD via GitHub Actions.

Qualifications

• 14+ years of Data Engineering experience.
• Proficiency in Python and SQL.
• Experience with AWS services (Step Functions, Lambda, S3).
• Experience with Textract and Comprehend.
• Experience with vector databases and embeddings.
• Experience with document chunking and indexing.
• Experience with RAG and knowledge-base integration.
• Experience with Amazon Bedrock and Claude Agent SDK.

Responsibilities

• Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
• Build automated document-processing workflows for structured and unstructured data.
• Implement document chunking, embeddings, vector indexing, semantic search, and RAG solutions.
• Develop and maintain vector databases and knowledge bases.
• Integrate knowledge bases with AI agents for contextual information retrieval.
• Build and deploy AI agents using Claude Agent SDK on Amazon Bedrock AgentCore Runtime.
• Develop and maintain CI/CD pipelines using GitHub Actions.
• Optimize data pipelines for scalability, security, reliability, and performance.

Skills

14+ years experience

Python

SQL

AWS Step Functions

Lambda

S3

Textract

Comprehend

Document AI/OCR

Vector databases

Embeddings

Document chunking

RAG

Amazon Bedrock

Claude SDK

AgentCore Runtime

GitHub Actions CI/CD

IAM / API integrations

Job description

Technology Management Solutions LLC is seeking a Senior Data Engineer for GenAI on AWS in Los Angeles, CA. Remote/Hybrid engagement on a 3+ month C2C basis, requiring 14+ years of data engineering, AWS, Python, and AI-tech stack.

You will design scalable AI-powered document processing, vector search pipelines, and intelligent agents on AWS with Bedrock and Claude SDK, plus CI/CD via GitHub Actions.