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# AI Engineer_3194

- **Company:** Allianz
- **Location:** Guildford, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Release Automation, Software as a Service, Continuous Integration, Python (Programming Language), Microsoft Platform Builder, Site Reliability Engineering Practices, Software Engineering, TypeScript, Cloud Platform System, Caching, AI Platforms, Kubernetes, Machine Learning Operations, Terraform
- **Published:** August 27, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=e8832bc6c1f9933e

## About the Role

* Proven track record building and operating AI or developer platforms into production scale, ideally in regulated or large-scale environments (banking, large SaaS, tech).
 * Hands-on platform builder with an enablement mindset and experience shipping platform capabilities used by multiple teams.
 * Deep knowledge of cloud-native infrastructure (Kubernetes, networking), MLOps/LLMOps stacks, vector databases/embedding stores, routing/caching layers, and identity/risk management.
 * Strong software engineering skills (e.g., Python/TypeScript/Go), infrastructure as code (Terraform), CI/CD, and SRE practices for reliability, performance, and cost efficiency.
 * Experience implementing governance, compliance, safety guardrails, and AI FinOps (quotas, budgeting, and policy enforcement) at the platform layer.
 * Pragmatic product sense with excellent vendor evaluation and partnership skills; comfortable making decisions under ambiguity and collaborating across functions.
 * Fluency in English.

## Description

As an AI Engineer, you own the AI platform layer that powers teams across Allianz Technology globally. You build and operate the runtime, governance, and developer experience that product and service teams use - from model routing, caching, and shared RAG services to MCP interfaces, Spec Kits, AI frameworks, Skills registries, and prompt management. You ensure AI agents and workloads run in a responsible (AI FinOps) and technically robust environment, with integrated safety, and as an expert in the AI tools and framework landscape you define what becomes an AI standard.

What you do

 * Design, build, and operate the AI platform runtime (Kubernetes-based services, gateways, and routing) including model routing, caching, shared RAG components, and prompt/skills management.
 * Provide a plug-and-play surface for teams with AI FinOps, quotas, usage metering, and safety/compliance guardrails built in.
 * Define and maintain platform standards (frameworks, SDKs, Spec Kits, MCP interfaces), curating the AI tool landscape and managing lifecycles from sandbox to standardization or retirement.
 * Implement platform-wide observability (metrics, logs, traces), SLOs, cost and performance instrumentation, and incident response processes.
 * Partner with AI Gateway and governance owners, hyperscalers, and AI frontier labs for regulated industry features, terms of service, and roadmap influence.
 * Optimize platform scalability, reliability, and cost across regions and environments; drive capacity planning, release automation, and risk recovery.


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