Navigating the EU AI Act’s High-Risk Classification: Building a Compliant, Serverless AI‑HR Platform on AWS for Generative Talent Acquisition
Navigating the EU AI Act’s High‑Risk Classification: Building a Compliant, Serverless AI‑HR Platform on AWS
Ever wondered how to launch an AI‑driven hiring tool without tripping over the EU AI Act’s high‑risk traps?
As a CPO who has shipped multiple AI MVPs under GDPR and DSA, I’ve learned that compliance isn’t a checkpoint—it’s the architecture.
Start by mapping every data flow to the Act’s Annex II categories. If your model evaluates candidates, it’s likely high‑risk, which triggers conformity assessments, transparency obligations, and strict data‑governance.
On AWS, I recommend a serverless stack: API Gateway → Lambda (Python) for inference, S3 for encrypted model artifacts, DynamoDB for audit logs, and Step Functions for orchestrating human‑in‑the‑loop reviews. This keeps latency under 200 ms while enabling automated retention policies.
Embed Guardrails: use AWS Macie to scan for personal data, Config rules to enforce encryption, and Lambda@Edge to enforce consent headers before any response leaves the VPC. Every inference call writes an immutable log to CloudTrail, satisfying the Act’s record‑keeping requirement.
The result? A talent‑acquisition platform that can scale to 10 k concurrent users, cut‑over‑time from weeks to hours, and demonstrably meets Article 9‑10 of the AI Act—turning regulatory risk into a market differentiator.
If you’re building generative AI for HR, treat compliance as a feature, not a fix‑cost. Let’s chat about how CVChatly’s AI‑driven avatar can become your 24/7 recruiter‑ready showcase while staying fully compliant. https://www.cvchatly.com
#AIAct #HRTech #AWS #Compliance #ProductLeadership
Maria José González Antelo is a CPO and ICT Project Director with over 20 years of experience scaling AI‑powered products under strict regulatory frameworks. She specializes in turning complex compliance requirements into scalable, serverless architectures on AWS.