DevSecOps AI Engineer (f/m/d)

4 days ago

Frankfurt, GermanyMid Level

Responsibilities

Build and productize reusable AI capabilities integrated with SDLC tools and workflows.
Implement SDLC AI agents and agentic patterns for developer setup, testing, maintenance, and automation.
Develop AI-assisted security remediation patterns and AI-enabled pipeline guardrails.
Build SDLC4AI components embedding AI lifecycle governance, compliance, and operational controls.
Create secure, scalable APIs, pipelines, templates, libraries, and policy packs for the Internal Developer Platform.
Implement secure LLM and agent integration patterns with identity-aware execution, auditability, and restricted environments where needed.
Engineer telemetry, monitoring, incident-handling hooks, runbooks, and safe rollout strategies for AI-enabled components.
Partner with the AI Center of Enablement and support adoption through demos, guidance, blueprints, documentation, and best practices.

At least 3 years of professional software engineering experience delivering production-grade services and automation, preferably in platform or tooling contexts.
Objective, verifiable evidence of recent hands-on work, such as GitHub repositories or demonstrable project artifacts.
Hands-on experience with Python, TypeScript/JavaScript, Java, or C#, plus API design and integration patterns including REST or events.
Practical enterprise experience implementing AI/LLM solutions, including orchestration, agentic workflows, prompt/tool integration, retrieval patterns, testing, observability, and rollout.
Experience integrating Git workflows, CI/CD, quality gates, artifact management, issue/work tracking, and observability systems.
Ability to translate security, governance, and compliance requirements into technical controls across pipelines and services.
Experience creating reusable building blocks and driving adoption through documentation, enablement, and pragmatic standards.
Strong communication and collaboration skills across platform and AI use-case delivery teams.
Fluency in written and spoken English; additional languages are a plus.
Preferred experience includes developer-productivity agents, platform engineering and Internal Developer Platform concepts, Responsible AI governance, evidence automation, and relevant cloud or security certifications such as Azure AI Engineer, Azure Security Engineer, CCSK, CKA/CKS, or Terraform Associate.

Flexible work arrangements, including a hybrid model and flexible working hours, based in Frankfurt.
Company pension and savings plans.
Relocation and childcare support.
Company share purchasing plan.
Mental health and wellbeing programs.
Mobility solutions including Jobrad bike leasing and subsidized Jobticket.
Career opportunities across the Allianz Group, self-guided learning and development, and volunteering time.
Permanent, full-time employment.

10,000+ employees