DevSecOps AI Engineer; f​/m​/d

This permanent role is part of the Development Transformation & Technology (DTT) team  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 (AI4

SDLC) 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/Dev Sec Ops /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
.

Build AI4

SDLC solutions (AI to accelerate software delivery):

• Build and productize “horizontal” AI capabilities that integrate with SDLC tools (e.g., Git Hub, 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)

• 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

• 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…