
AI Infrastructure Architect
10 hours ago
About the Role
Acorn is pioneering performance-based corporate learning powered by AI. We're seeking a passionate enthusiast to coordinate the architecture, delivery and scale of our internal AI systems built on a serverless AWS stack incorporating CloudFront, S3, API Gateway, Cognito, Lambda, DynamoDB, Amazon Bedrock, RAG components (Aurora/OpenSearch/Kendra), and key data sources like S3, SharePoint, and Confluence.
As our AI Engineering Specialist, you will work towards the development of key AI infrastructure and feature delivery projects, including:
- Generative AI agents powered by Amazon Bedrock
- RetrievalAugmented Generation (RAG) systems using Aurora, OpenSearch Serverless, and Kendra
- Cloud-native orchestration using AWS Lambda, API Gateway, Cognito, DynamoDB, and S3
The ideal candidate will have direct experience with Amazon Bedrock, OpenSearch Serverless or Kendra, and Aurora or DynamoDB. They should also possess expertise in building RAG systems, embedding pipelines, prompt engineering, and retrieval optimization.
We welcome applications from diverse backgrounds and champion inclusive recruitment. Our process typically includes stakeholder interviews, technical/architecture discussions, and a case exercise. Please let us know if you require any accommodations at any stage of the recruitment process.
Key Responsibilities
- Contribute to the development of key AI infrastructure and feature delivery projects
- Execute full project lifecycles from planning and architecture to delivery and deployment
- Develop seamless integrations across Bedrock, RAG components, and enterprise systems
Benefits
- Contribute to the creation of a world-class internal AI platform powering enterprise learning and performance
- Experience working hands-on with cutting-edge AWS services and language models
- Influence systems that scale across global teams and drive measurable results
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