AI Platform Engineer
Employer · Allianz Technology
Software developer
System administratorSystems analystFlexibleFull-timeTransportBudapest
As an AI Platform Engineer you own the AI platform layer that powers teams across Allianz Technology globally. You will build and operate the runtime, governance, and developer experience that product and service teams use, from model routing, caching, shared RAG services, MCP interfaces, Spec Kits, AI frameworks, Skills registries, to prompt management.
Tasks
- Design, build, and operate the AI platform runtime 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, curating the AI tool landscape and managing lifecycles from sandbox to standardization or retirement
- Implement platform-wide observability, SLOs, cost and performance instrumentation, and incident response processes
- Partner with AI Gateway, governance owners, hyperscalers, AI frontier labs for regulated industry features, terms of service and roadmap influence
- Optimize platform scalability, reliability, and cost across regions and environments
Conditions & benefits
Hybrid work modelIncludes up to 25 days per year working from abroad.Compensation and benefitsIncludes a company bonus scheme, pension, employee shares program, and multiple employee discounts.Learning and developmentAccess to over 10,000 on-demand learning resources and programs, digital learning programs, and international career mobility.Health and wellbeingHealthcare and parental leave benefits, flexible working, and access to the AYMC Sportpass.Parking supportEnsuring a seamless and stress-free commuting experience to and from the workplace.
Requirements
- Proven track record building & operating AI or developer platforms into production scale, ideally in regulated or large-scale environments
- Hands-on platform builder with an enablement mindset with experience in 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
- Experience implementing governance, compliance, safety guardrails, and AI FinOps at the platform layer
- Pragmatic product sense with excellent vendor evaluation and partnership skills
- Fluency in English