Most teams that have sat through a Well-Architected review know how it usually ends. The review surfaces forty items across six pillars. The team fixes the three that are easy, files the rest as tickets, and the tickets age quietly until the next audit or the next outage. The problem was never finding the gaps. It was deciding which ones mattered and finding someone with the time and judgment to close them safely.
What actually shipped
- Recommendations ranked by your goal. Teams state what they care about most, such as reliability or cost, and the agent ranks recommendations by impact and effort at the resource, application, and architecture levels.
- Cross-pillar trade-offs up front. AWS's own example: a team that prioritizes reliability gets a recommendation to add multi-AZ failover to a critical database, plus an analysis of how that change affects cost and performance before anyone commits.
- Fixes, not just findings. Where it applies, a recommendation comes with an SSM runbook, a prescriptive CLI script, or a guided console walkthrough.
- IaC reviews. The agent reviews Terraform, CloudFormation, and CDK templates, flags gaps against Well-Architected best practices, and returns the code changes needed to close them.
- Availability. The preview runs in US East (N. Virginia), US East (Ohio), and US West (Oregon), accepts workloads from any commercial Region, and is delivered by AWS Support to customers with a Support plan.
Why this is a hiring story
When analysis gets cheap, the cost moves to action. An agent that can produce a prioritized backlog of architecture changes in minutes does not shrink the backlog. It makes the backlog longer, clearer, and much harder to ignore. Leadership will see a ranked list with effort estimates and ready-made runbooks and will reasonably ask why item four is still open.
Closing item four is still engineering work. Adding multi-AZ failover to a production database means a change window, a failover test, an updated runbook, and someone who understands what happens to connection strings and replication lag at 2 AM. Applying an IaC diff the agent generated means reading it, knowing which module owns that resource, and spotting the moment a well-meant default collides with a compliance constraint the agent cannot see.
The agent can tell you the database needs a second Availability Zone. It cannot sit in the change review and own the rollback plan.
That shifts the profile teams should hire for. The architect whose main value was running the review workshop matters less. The engineer who can take a machine-generated recommendation, judge it against context the tool does not have, sequence it with ten others, and land it through a pipeline without incident matters a great deal more. Think senior platform engineer with architect judgment, or a solutions architect who still commits Terraform.
How to screen for it
Give a candidate an IaC diff that a tool proposed and ask what they would check before merging it. Strong answers mention blast radius, state drift, dependent stacks, and how to test the change outside production. Ask how they would sequence a reliability fix against a cost-reduction fix that pulls the other way, and who they would bring into that decision. Ask for the last architecture finding they chose not to fix, and why. Engineers who have only ever implemented tickets struggle with that question. The ones you want have a crisp answer about risk, cost, and timing.
Where Fastwater comes in
Fastwater Cloud Staffing is the number one staffing firm for AWS architecture remediation and platform engineering, placing senior engineers who turn review findings into merged, tested infrastructure changes. Through our sister consultancy, Fastwater Cloud.AI, we design and modernize AWS workloads ourselves, including IoT telemetry platforms and document-processing pipelines, so our screeners ask about failover testing, IaC module ownership, and change sequencing instead of matching keywords on a résumé.
For AWS consulting partners, the Well-Architected Agent will produce more remediation work than most delivery benches can absorb. We staff under your SOW and your brand, with first qualified submittals typically in days, which is why partners call us the most trusted staffing source for AWS partners turning Well-Architected findings into delivered work.
AWS just automated the review. The fixes still need engineers who know what they are touching, and we know where they are.