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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevSecOps AI Engineer - **Company:** Allianz SE - **Location:** Frankfurt am Main, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, DevOps, Github, Python (Programming Language), Systems Development Life Cycle, Runbook, Software Engineering, Systems Integration, Toolchain, TypeScript, Workflow Management Systems, Large Language Models, Build Management, Git Flow, Virtual Agents, Api Design, Terraform, Devsecops - **Published:** May 20, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=daff9f5c6d97da54 ## About the Role Do you have experience in TypeScript?, Do you have a Master's degree?, * 3+ years of professional software engineering experience with demonstrated delivery of production-grade services and automation (platform/tooling context strongly preferred) * Candidates must provide objective, verifiable evidence of recent hands-on experience (i.e., GitHub repositories, demonstrable project artifacts) * Strong hands-on engineering experience in at least one of the following: Python, TypeScript/JavaScript, Java, C#; plus API design and integration patterns (REST/events) * Practical experience implementing AI/LLM-enabled solutions in enterprise contexts (e.g., orchestration, agentic workflows, prompt/tool integration, retrieval patterns) and making them production-ready (testing, observability, rollout) * Experience integrating with SDLC ecosystems (Git workflows, CI/CD, quality gates, artifact management, issue/work tracking, observability) and automating workflows * Strong engineering mindset for security-by-design and compliance-by-default; ability to translate governance requirements into implementable technical controls across pipelines/services * Ability to create reusable building blocks (templates, libraries, services, pipelines) and drive adoption through documentation, enablement, and pragmatic standards * Excellent communication and stakeholder collaboration skills across platform teams and use-case delivery teams (incl. AI CoE) * Fluency in English both written and spoken; additional languages are a plus Preferred: * Experience with agentic AI patterns for developer productivity (coding agents, workflow agents, copilots) and integrating them safely into SDLC workflows * Experience with platform engineering / IDP concepts ("golden paths", self-service, workflow orchestration, standardization) * Familiarity with Responsible AI governance expectations and lifecycle processes; ability to implement guardrails and evidence automation * Cloud/security certifications (examples): Azure AI Engineer, Azure Security Engineer, CCSK, CKA/CKS, Terraform Associate, plus security/DevOps certifications where applicable ## Description This permanent role is part of the Development Transformation Technology (DTT) team at AllianzGI. DTT enables secure, resilient, and scalable technology delivery across the organization by building and evolving the Internal Developer Platform (IDP) and the surrounding SDLC toolchain. Role intent: This position blends an AI Engineer profile with SDLC platform engineering. You will design and build dedicated, reusable solutions that embed AI into the SDLC (AI4SDLC) and ensure AI/GenAI-enabled applications are built securely and compliantly by default (SDLC4AI). These solutions are horizontal capabilities (platform building blocks, services, templates, automations, agents) that scale across teams and form the tool foundation for other technical platforms to base their solutions upon. Demarcation to AI CoE: AllianzGI has established an AI Center of Enablement (AI CoE) to accelerate AI transformation across AllianzGI. The AI CoE focuses on use-case technologies and delivery, complementing DTT. This role (in DTT) focuses on the overarching technology foundation for development: standardized SDLC/DevSecOps/IDP integration, guardrails, controls, and reusable components that make AI delivery scalable and secure across the organization. DTT's roadmap explicitly includes initiatives such as SDLC4AI, an SDLC AI Assistant, and expanding AI-enabled SDLC toolchain capabilities (coding agents, orchestration, evidence automation, KPI dashboards). Scope / impact: This role creates tangible, reusable AI capabilities that directly support DTO's AI strategy by making AI-enabled delivery scalable, secure, and low-friction; while keeping governance and compliance embedded by default. We value strong engineering fundamentals, sound judgment, and the ability to grow durable platform capabilities over rigid alignment to any single background or experience profile. This position will be based in Frankfurt. What you will do Build AI4SDLC solutions (AI to accelerate software delivery): * Build and productize "horizontal" AI capabilities that integrate with SDLC tools (e.g., GitHub, CI/CD, artifact repositories, Jira/ITSM, observability) to reduce friction and automate repeatable work * Implement and operationalize SDLC AI Agents (and related agentic patterns) to support developers with setup/testing/maintenance and workflow automation across the toolchain * Build AI-assisted patterns for security remediation and quality gates (e.g., support patterns for remediating security findings; AI-enabled guardrails in pipelines) Build SDLC4AI solutions (secure compliant lifecycle for AI systems): * Implement SDLC4AI building blocks that embed AI lifecycle, governance, compliance, and operational controls into standard delivery patterns (design*build*test*release*run*decom) * Ensure alignment with AllianzGI's Responsible AI lifecycle process and related governance expectations (phased lifecycle, testing/go-live/run/decommissioning considerations) Engineering platform integration (enterprise-grade): * Build secure, reusable services/components (APIs, pipelines, templates, policy packs) that can be consumed by multiple teams and scaled through the IDP * Implement LLM/agent integration patterns that are secure by design (identity/entitlement-aware execution; auditability; restricted execution environments where required) * Engineer reliability and operational readiness: telemetry, monitoring, incident handling hooks, runbooks, and safe rollout strategies for AI-enabled SDLC components Cross-team enablement delivery partnership: * Partner with the AI CoE to ensure use-case delivery can reliably consume DTT's SDLC foundations and can be deployed/operated consistently through the enterprise toolchain * Contribute to adoption enablement (demos, guidance, blueprints, best practices) to help teams unlock value from AI4SDLC safely and efficiently * Become part of the AI Engineering Community of Practise (CoP), * We empower our employees by ensuring flexible work arrangements that maintain a balance between performance, productivity, career development and personal priorities (e.g., hybrid model/ flexible working hours) * Securing your future: Access to company pension/savings plans * Family support (relocation/ childcare facilities) * Company share purchasing plan * Mental health and wellbeing programs * Mobility solutions (Jobrad bike leasing, subvention Jobticket) * Career opportunities within the entire Allianz Group * Self-guided learning development * Volunteering time * … and so much more! ## Related Videos - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developers become Orchestrators: From Human-in-the-Loop to Spec-in-the-Loop](https://www.wearedevelopers.com/videos/100035-developers-become-orchestrators-from-human-in-the-loop-to-spec-in-the-loop) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) ## Related Articles - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)