Senior AI Developer

Role & responsibilities

Senior AI Developer

You will

• Design, develop, and maintain AI-powered applications, agents, and automations that support business processes across multiple domains.
• Apply Model Context Protocol (MCP) concepts to connect AI tools and agents to internal systems in a secure, controlled manner.
• Use n8n (or similar workflow automation tooling) to build and orchestrate AI-driven workflows, combining LLM reasoning with business logic.
• Explore AI use cases within SAP SuccessFactors, ServiceNow, and Global Identity and Access Management (GIAM), and contribute to automation and intelligent-decisioning initiatives.
• Support end-to-end delivery of AI solutions, from prototyping through testing, deployment, and production monitoring.
• Contribute to the technical design and documentation of AI initiatives, keeping it aligned with the overall Allianz Technology landscape.
• Support IT risk assessments, responsible-AI reviews, and alignment with Enterprise Architecture standards.
• Collaborate with cross-functional and international teams, contributing to a culture of continuous improvement and knowledge sharing.
• Stay curious about the fast-moving AI ecosystem and bring new tools and techniques into the team's practice.

Preferred candidate profile

• Hands-on experience building AI-powered applications, automations, or agents, with around 710 years of overall software/solution development experience.
• Working knowledge of Model Context Protocol (MCP) or similar AI-agent integration approaches.
• Practical experience with n8n or similar workflow automation/orchestration platforms.
• Exposure to SAP SuccessFactors, with a working understanding of core HR processes.
• Familiarity with ServiceNow, including its workflow and automation capabilities.
• Familiarity with Global Identity and Access Management (GIAM) concepts and interest in AI-enhanced IAM capabilities.
• Solid understanding of API integration, authentication/authorization (OAuth2, SSO), and secure design practices.
• Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex issues in AI-driven solutions.
• Ability to exchange ideas and information effectively in a concise and logical way, with attention to cost-effective and secure design choices.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at various levels.
• Proven experience across the full project lifecycle, from requirements gathering to solution design, development, testing, and deployment