About Coretura

Coretura builds next‑generation AI capabilities for enterprises that refuse to settle for legacy thinking. We design systems where adaptability, speed, and operational rigor coexist—because AI at scale demands both. If you want to shape how organizations operationalize AI, not simply implement it, you’ll feel at home here.

About the role

Most enterprises are trying to fit AI into old IT frameworks: agents treated like applications, prompts deployed like code, model behavior handled like deterministic compute. It doesn’t work—and you already know that.

Coretura’s AI Hub is hiring an AI Platform Architect to tackle the hardest structural questions at the intersection of AI, infrastructure, and operations:

• How do you observe a system whose behavior changes weekly?

• How do you govern “assets” that include markdown agents, prompts, and evaluation datasets?

• How do you maintain operational rigor without killing the speed that makes AI valuable?

• What parts of classic enterprise operations translate—and what needs to be reinvented entirely?

This is a design authority role. No people management—only high‑leverage architectural ownership.
You will partner directly with our AI Hub Lead and report to the Chief Digital Officer.

What you'll do

You will define how AI products operate inside Coretura—end to end. This includes the systems, the governance, the observability, and the foundations that make safe, rapid, continuous evolution possible.

Your responsibilities include:

AI Infrastructure & Operational Architecture

• Define the enterprise‑wide architecture for AI products and agent‑driven workloads

• Design environments that enable rapid experimentation without compromising safety

• Build frameworks that support continuous model, prompt, and agent evolution

AI Observability

Traditional APM can’t detect “confidently wrong” AI outputs.
You’ll define observability for:

• Output quality

• Reasoning integrity

• Behavioural drift over time

• Cost/risk signatures across workloads

Asset Lifecycle Management

AI assets do not fit into existing CMDBs.
You will define how we track and version non‑traditional artifacts:

• Agent definitions (markdown)

• Prompt templates & tool configurations

• Model versions & knowledge bases

• Evaluation datasets & regression suites

All without slowing teams down.

Cost Modeling & Optimization

Own the full cost equation across:

• Token optimization and usage modeling

• Account‑level consumption metrics to track enterprise AI maturity

• Differentiation between R&D spend and operational spend

• Traditional infrastructure allocation

Security & Risk Architecture

AI autonomy introduces new risks.
You’ll set guardrails for:

• Account‑level AI usage

• Scoped API integrations

• Autonomous agent behavior

• Data segregation across autonomy tiers

• Production‑grade prompt injection mitigation

Resilience & AI‑Specific Disaster Recovery

Define resilience for AI stacks where:

• Model

• Prompt context

• Knowledge base

• Tooling
  …all operate as a unit.

Traditional failover patterns don’t apply—you’ll create new ones.

Strategic Partnering

Translate organizational goals into operational and infrastructure strategies in direct partnership with the AI Hub Lead and executive leadership.

What we're looking for

You think in systems.

You see the bottlenecks before they form and design structures that scale with speed, not against it.

Technical Background

• Deep experience in infrastructure architecture: compute, networking, storage, cloud vs. hybrid environments

• Understanding of AI workloads: inference patterns, model serving, vector stores, graph DBs, event‑driven systems

• Familiarity with modern observability that goes beyond latency/error tracking

• Experience structuring lifecycle management where “assets” are non‑traditional (prompts, configs, datasets)

Strategic & Cross‑Functional Competencies

• Ability to reason about risk from low‑autonomy tools to fully autonomous agents

• Strong understanding of cost modeling in AI environments

• Executive‑grade communication skills

• Comfort with ambiguity—creating structure where none exists, without over‑engineering

• Ability to work across security, infra, AI engineering, and product teams

If you see operations as a checklist of established best practices, this isn’t it.

There is no playbook for AI operations at enterprise scale.
We’re looking for someone who wants to write it—balancing enterprise‑grade rigor with the speed of modern AI development.

Why Coretura

• You’ll define foundational architecture for an organization investing aggressively in AI

• You’ll work directly with senior leadership and shape enterprise‑wide AI strategy

• You’ll operate with autonomy and ownership over one of the most critical capability areas

• You’ll help build a future‑ready AI landscape instead of retrofitting AI into old frameworks

Ready to Apply?

We review applications continuously — don’t wait.

If you have any questions regarding the role or the recruitment process, contact Victor Holkert, Talent Acquisition Partner, at victor.holkert@coretura.com