TechShack
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of "unknown" and a pay rate of "$X per hour." Requires strong AWS data engineering experience, Python, SQL, ETL/ELT development, and exposure to AI tools like SageMaker and Bedrock.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Athena #Automation #Monitoring #AI (Artificial Intelligence) #Cloud #Data Quality #AWS Glue #SQL (Structured Query Language) #Python #S3 (Amazon Simple Storage Service) #RDS (Amazon Relational Database Service) #Redshift #SageMaker #AWS (Amazon Web Services) #OpenSearch #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #Data Pipeline
Role description
AWS Data Engineer – AI / GenAI Tooling
We are looking for an experienced AWS Data Engineer to support the build of cloud-native data pipelines and AI-enabled workflows.
You will work across AWS data services including Glue, Lambda, S3, Athena, Redshift, Step Functions and RDS, with exposure to AI tools such as Bedrock, SageMaker, Textract, Comprehend or OpenSearch.
Key skills:
• Strong AWS data engineering experience
• Python and SQL
• ETL/ELT pipeline development
• AWS Glue, Lambda, S3, Athena, Redshift or Step Functions
• Experience with data quality, orchestration and monitoring
• Exposure to AWS AI / GenAI tools such as Bedrock, SageMaker, Textract or OpenSearch
• RAG, LLMs or document automation experience beneficial
This role suits a hands-on Data Engineer who can build reliable AWS data pipelines and support practical AI/GenAI use cases.
AWS Data Engineer – AI / GenAI Tooling
We are looking for an experienced AWS Data Engineer to support the build of cloud-native data pipelines and AI-enabled workflows.
You will work across AWS data services including Glue, Lambda, S3, Athena, Redshift, Step Functions and RDS, with exposure to AI tools such as Bedrock, SageMaker, Textract, Comprehend or OpenSearch.
Key skills:
• Strong AWS data engineering experience
• Python and SQL
• ETL/ELT pipeline development
• AWS Glue, Lambda, S3, Athena, Redshift or Step Functions
• Experience with data quality, orchestration and monitoring
• Exposure to AWS AI / GenAI tools such as Bedrock, SageMaker, Textract or OpenSearch
• RAG, LLMs or document automation experience beneficial
This role suits a hands-on Data Engineer who can build reliable AWS data pipelines and support practical AI/GenAI use cases.
