Job Description:

We are seeking an experienced Lead SuccessFactors AI Developer with strong hands-on expertise in building AI-powered applications, agents, and intelligent automations, ready to design, build and scale AI-driven solutions across our application landscape at Allianz Technology.

What you will do:

- Design, build, and deploy AI-powered applications, agents, and intelligent automations that solve real business problems across multiple domains.

- Apply Model Context Protocol (MCP) and related standards to connect large language models and AI agents securely to enterprise systems and data sources.

- Use n8n (or similar workflow automation tooling) to orchestrate AI-driven workflows, combining LLM reasoning with deterministic business logic.

- Identify and lead AI-enablement opportunities across platforms such as SAP SuccessFactors, ServiceNow, and Global Identity and Access Management (GIAM), working with the respective platform teams.

- Own end-to-end delivery of AI initiatives - from prototyping and experimentation through to production deployment, monitoring, and continuous improvement.

- Define technical approach and architecture for AI initiatives, evaluating build-vs-buy options, model choice, and integration patterns.

- Ensure AI solutions are secure, explainable, and compliant, partnering with Security, Enterprise Architecture, and Compliance teams on responsible-AI practices.

- Mentor and guide junior developers on AI engineering practices, prompt design, and workflow orchestration.

- Act as a technical point of contact for AI-related initiatives, engaging stakeholders across business and IT to translate needs into practical AI solutions.

- Stay current with the fast-moving AI ecosystem (models, frameworks, agent protocols) and champion responsible adoption across the organization.

Skills required :

- Strong hands-on experience building AI-powered applications, automations, or agents, with around 9 - 12 years of overall software/solution development experience.

- Practical understanding of Model Context Protocol (MCP) and how to expose enterprise tools and data safely to AI agents and LLM-based assistants.

- Hands-on experience with n8n or similar workflow automation/orchestration platforms, used to combine AI reasoning with business processes.

- Exposure to SAP SuccessFactors, with an understanding of core HR processes and how AI can enhance them (e.g. intelligent search, recommendations, automation of routine HR tasks).

- Working knowledge of ServiceNow, including its workflow/automation capabilities and how AI can be layered onto ITSM/ITOM processes.

- Familiarity with Global Identity and Access Management (GIAM) concepts, with practical exposure to applying AI (e.g. anomaly detection, intelligent access recommendations) within IAM processes.

- Solid understanding of API integration, authentication/authorization (OAuth2, SSO), and secure design practices for AI solutions.

- Demonstrated ability to define technical strategy for AI initiatives, evaluate tools and models, and lead solution architecture discussions.

- Excellent stakeholder management and communication skills, comfortable engaging senior technical and business audiences on AI opportunities and risk.

- Proven track record delivering software/automation projects across the full lifecycle, including mentoring junior team members.