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    Enterprise AI Solution Delivery

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    End-to-end enterprise AI solution design and delivery using Amazon Bedrock, Amazon SageMaker, and AWS Lambda — custom large language model applications, retrieval-augmented generation pipelines, and multi-agent orchestration integrated into enterprise systems on AWS.

    Overview

    This professional service helps customers achieve specific outcomes related to the adoption of artificial intelligence capabilities on AWS Cloud by designing and delivering enterprise AI solutions using Amazon Bedrock, Amazon SageMaker, AWS Lambda, and Amazon API Gateway. Solution delivery begins with an AI use-case assessment: business process analysis, data readiness evaluation, model selection, and solution architecture design that maps customer requirements to appropriate foundation models available through Amazon Bedrock — including Claude Sonnet 4.5 (Amazon Bedrock Edition), Claude Opus 4.8 (Amazon Bedrock Edition), and Claude Platform, all available on AWS Marketplace. Retrieval-augmented generation (RAG) pipelines are designed and built using Amazon Bedrock Knowledge Bases with Amazon OpenSearch Serverless as the vector store, Amazon S3 for document storage, and AWS Lambda for document ingestion and chunking automation — enabling enterprise AI applications to answer questions grounded in customer-specific data rather than foundation model training alone.

    Solution engineering delivers production-ready AI applications using Amazon API Gateway and AWS Lambda for serverless inference API layers, Amazon DynamoDB for conversational session state and audit logging, AWS Step Functions for multi-step AI workflow orchestration, and Amazon CloudWatch for inference latency monitoring and per-invocation cost tracking. Amazon SageMaker is used for custom model fine-tuning and evaluation where domain adaptation is required beyond off-the-shelf foundation models, with trained artefacts stored in Amazon S3 and deployed via Amazon SageMaker Endpoints or Amazon Bedrock custom model import. Enterprise integration connects AI capabilities to existing business systems — including CRM, ERP, and document management platforms — using Amazon EventBridge for event-driven triggers, Amazon SQS for asynchronous task queuing, and AWS PrivateLink for private connectivity to on-premises systems, with AWS IAM and Amazon VPC guardrails ensuring every inference flow operates within the customer's security boundary.

    Customers using this service are responsible for AWS infrastructure costs incurred in their AWS accounts — including Amazon Bedrock model invocation fees, Amazon SageMaker compute, AWS Lambda, Amazon OpenSearch Serverless, Amazon DynamoDB, and related AWS services — separately from the service fee transacted through AWS Marketplace. This service suits enterprises seeking to move AI pilots into production on AWS with governed, observable, and enterprise-integrated architectures built on Amazon Bedrock foundation models available on AWS Marketplace.

    Highlights

    • RAG pipeline design using Amazon Bedrock Knowledge Bases, Amazon OpenSearch Serverless, and Amazon S3 — grounding enterprise AI applications in customer data using Claude Sonnet 4.5 and Claude Opus 4.8 available on AWS Marketplace through Amazon Bedrock
    • Production AI application engineering using Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and AWS Step Functions — serverless inference layers with Amazon CloudWatch latency monitoring and per-invocation cost tracking
    • Amazon SageMaker custom model fine-tuning and enterprise system integration using Amazon EventBridge, Amazon SQS, and AWS PrivateLink — connecting Amazon Bedrock AI capabilities to CRM, ERP, and document management platforms within the customer's AWS security boundary

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Contact us at hello@jedihilltaas.com.au  for support related to this enterprise AI solution delivery service. We respond to all enquiries within 2 business days. Post-engagement support covers Amazon Bedrock Knowledge Base configuration, Amazon SageMaker endpoint queries, AWS Lambda inference function troubleshooting, RAG pipeline performance issues, and Amazon CloudWatch cost monitoring for AI workloads. We are an AWS Advanced Partner specialising in enterprise AI solution delivery using Amazon Bedrock foundation models available on AWS Marketplace.

    Software associated with this service