AI Infrastructure
AI that holds.
Not proofs of concept.
Implementa's infrastructure capability. We deploy enterprise AI stacks with governance and security — measured in uptime, deployment success and governance maturity.
What we ship
AI Infrastructure
The pod's roles
No names: we sign by role. This is what each profile in the pod does.
Senior AI Infrastructure Operator
Leads the pod and owns the success of enterprise deployments.
Data Governance Operator
Defines and enforces data governance: ownership, quality, traceability, access.
AI Security Specialist
Secures AI systems against risk and abuse. Controls and incident response.
Infra Engineer
Provisions and runs environments. Availability, performance and observability.
RAG / Knowledge Engineer
Builds the retrieval and knowledge pipelines. Relevance and citation.
Compliance Specialist
Maps regulatory requirements and documents the compliance controls.
How we measure it
- Deployment success
- Uptime
- Governance maturity
- Compliance
The bar
To join the Infrastructure pod you must have deployed AI with governance and security in production — and handle RAG, compliance and uptime for real, not in theory.
See how you get in →Results, not slides
B2B fintech · expense management
€0,18 → €0,04
Cost per 1,000 tokens
12 weeks
B2B software · customer success
2,4s → 320ms
P95 latency
10 weeks
Healthcare · hospitals
99,2 → 99,98 %
Uptime SLA
20 weeks
Do you deploy AI that holds?
Show the stack you put into production. We'll teach you the rest.