GenAI and ML Production Build on AWS by Assembly

GenAI and ML production build on AWS by Assembly

Assembly is an AWS Advanced Tier Services Partner. Our engineers build alongside yours, in your repositories, pipeline and standards, so security, evaluation and cost control are designed in, not retrofitted after launch.

Relation to AWS services This professional service designs and builds generative AI and machine learning applications in your AWS account on Amazon Bedrock and Amazon SageMaker, running on AWS Lambda and Amazon ECS. Data preparation uses Amazon S3, AWS Glue, Amazon OpenSearch Service and Amazon Bedrock Knowledge Bases, and model hosting adds Amazon Bedrock Guardrails, AWS PrivateLink and AWS Identity and Access Management (IAM).

Why build with Assembly

• Production, not a demo: demos prove interest; production proves value. The gap between them is where most GenAI budgets disappear.
• Evaluation from day one: automated quality checks in CI catch regressions before your customers do.
• Model choice without lock-in: application calls sit behind a stable internal interface, so switching models stays inexpensive.
• Your team owns it: infrastructure as code, runbooks and dashboards, built with your engineers.

How it runs (typically 6-8 weeks)

1. Design: lock the architecture, success metrics and cost envelope across models, retrieval, orchestration and security.
2. Build: short iterations, with working software reviewed every week.
3. Harden: security review, evaluation harness, guardrails, rate limits, fallbacks, observability and load testing before go-live.
4. Launch: ship to production and hand over ownership with documentation and dashboards.

Add-on packages

• Model hosting and selection (typically 3-5 weeks): benchmark candidate models on your own prompts for quality, speed and cost per request, move application calls to Amazon Bedrock, set up guardrails, logging, quotas and private connectivity, and route simpler work to cheaper models.
• AI data preparation (typically 4-6 weeks): profile and consolidate your data on AWS, build pipelines, chunking, metadata, embeddings and a retrieval layer tuned to real queries, with quality checks, lineage and a runbook for keeping data fresh.

What you receive

• A production GenAI application on AWS
• Infrastructure as code and CI/CD
• An automated evaluation suite
• Runbooks, dashboards and team handover

Proof Human eSources turned nearly three decades of talent science into AI that explains every job match: Talent Scout AI, built by Assembly and live on Amazon Bedrock behind TruTalent, its recruiting platform.

Important

• Start with a GenAI/ML Readiness Assessment, funded by AWS for companies that qualify, subject to AWS approval. We check your fit with you before anything goes to AWS.
• You are responsible for any AWS infrastructure and service charges incurred in your AWS account, billed separately from your AWS Marketplace transaction.