AWS AI Engineer

We are supporting an organisation looking for an experienced AWS Data Engineer to help design, build and optimise cloud-native data platforms with exposure to modern AI and GenAI tooling. This role is suited to someone with strong hands-on AWS data engineering experience who has also worked with, or is keen to work further with, tools such as Amazon Bedrock, SageMaker, Textract, Comprehend, OpenSearch, RAG pipelines or LLM-based automation., * Design and build scalable AWS data pipelines using services such as Glue, Lambda, S3, Athena, Redshift, Step Functions, EMR and RDS

• Develop ETL/ELT workflows across structured, semi-structured and unstructured data
• Support AI-enabled data use cases including RAG, semantic search, document processing, classification and extraction
• Build orchestration and automation workflows using Airflow/MWAA, Step Functions or similar
• Work with Python, SQL and AWS-native services to deliver production-ready solutions
• Support data quality, monitoring, performance optimisation, security and governance

• Strong commercial experience as a Data Engineer or Data Platform Engineer
• Hands-on AWS data engineering experience across Glue, S3, Lambda, Athena, Redshift, EMR, Step Functions or similar
• Strong Python and SQL skills
• Experience building ETL/ELT pipelines and production data platforms
• Exposure to AWS AI/ML or GenAI tooling such as Bedrock, SageMaker, Textract, Comprehend, Kendra or OpenSearch
• Experience with RAG, vector search, embeddings or AI-powered document processing would be highly beneficial
• Familiarity with CI/CD, Git, Docker, Terraform or infrastructure-as-code tools