Solution Architect / Consultant (Agentic AI & Conversational AI)

About

Our client, an internationally operating company in the field of Retail and Artificial Intelligence, is looking for an experienced Solution Architect / Consultant to architect and further develop strategic retail initiatives with a focus on Agentic AI and Conversational AI.

In this role, you will act as the central point of contact, coordinating ongoing initiatives across different countries, tribes, and vendors, ensuring a consistent, scalable, and future-proof architecture.

Responsibilities

Portfolio Assessment & Transparency

• Analysis of ongoing initiatives across tribes, countries, and vendors
• Creation of a structured overall overview of all AI use cases and platforms
• Identification of overlaps, duplicate structures, and strategic gaps
• Detection of inconsistent architectural patterns

Architecture Review & Guidance

• Evaluation of solution architectures regarding integration into existing ecosystems
• Alignment with existing platforms (e.g., data platforms, AI platforms)
• Definition and maintenance of solution blueprints in alignment with group-wide architectural principles
• Ensuring scalability, reusability, and compliance

Strategic Alignment (AI & Retail)

• Alignment of retail initiatives with group-wide AI standards
• Close collaboration with enterprise and solution architecture at group level

Vendor & Solution Evaluation

• Evaluation of internal vs. external solutions
• Analysis of vendor products (e.g., AI assistants, platform solutions)
• Managing build-vs.-buy decisions considering scalability, cost efficiency, and maintainability

Executive Reporting & Decision Support

• Preparation of regular executive summaries (COO/board level)
• Development of target architectures, gap analyses, and prioritized roadmaps

Your Profile

• Several years of experience in solution or enterprise architecture
• Hands-on experience with Agentic AI and Conversational AI
• Experience in the banking or financial services environment is an advantage
• Solid understanding of cloud platforms (AWS, Azure), microservices, and API-first design
• Knowledge of RAG, LLM-based systems, AI orchestration, and agent frameworks
• Experience integrating AI solutions into complex enterprise landscapes
• Strong communication skills – both technical and at executive level
• Ability to influence stakeholders and sustainably establish architectural best practices
• Experience with agile working methods
• Very good English skills; German or another CEE language is a plus
• On a personal level, you impress with proactivity, curiosity, a strong sense of responsibility, and a structured, solution-oriented way of working