AI Solution Architect (m/f/d)

Job description

92183 | Data & AI | Professional | n.a. | IDS | Full-Time | Permanent

The job advertisement is only for IDS internal employees.

If you have any questions, please contact the hiring manager directly:

Alexander Lillich; Email: alexander.lillich@investmentdataservices.com

JOB PURPOSE/ROLE

As an AI Solution Architect, you are the interface between Data Science, Software Development, and Product Management. Your responsibility is to ensure that AI models, LLMs, and automations not only function but also deliver real value to our products and processes.

You think in end-to-end solutions: from ideation to prototyping all the way to productive integration.

KEY RESPONSIBILITIES

• Developing and integrating AI-based product features (e.g., recommendation engines, chatbots, automations, LLM-based assistants)
• Building and maintaining AI services and APIs for production use (e.g., with FastAPI, Azure ML, LangChain, Hugging Face, Vertex AI, or OpenAI APIs)
• Collaborating with data scientists to transition models into scalable applications
• Ownership of AI use case design – from business problem to technical solution architecture
• Utilizing RAG (Retrieval-Augmented Generation), prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Chroma, Azure Cognitive Search)
• Ensuring quality, security, and governance in AI solutions
• Supporting prototyping and proof-of-concept for new AI functionalities
• Monitoring new trends in GenAI, agents, and multimodal models, and evaluating their relevance for the company

KEY REQUIREMENTS/SKILLS/EXPERIENCE

• Degree in Computer Science, Data Science, Engineering, or a comparable qualification
• Multiple years of experience in developing AI/LLM-based applications in the cloud as well as building human-in-the-loop processes
• Excellent Python skills and API development experience (e.g., FastAPI) as well as integration of LLM APIs (OpenAI, Anthropic, Mistral, Azure OpenAI)
• Hands-on experience with Docker and Kubernetes (containerization, deployment, scaling, operations)
• Strong expertise with relational databases and SQL (e.g., Oracle, PostgreSQL): schema design, query optimization, transactions, and clean interfaces
• Confident handling of Git and modern source control/branching strategies; basic knowledge of CI/CD
• Experience with RAG, vector databases, and prompt engineering as well as common frameworks (e.g., LangChain, LlamaIndex)
• Familiar with cloud architectures (Azure, AWS, or GCP), API design, security, and access/governance concepts
• Excellent communication skills to bridge tech and business teams
• Fluent in German and English (both written and spoken)

Nice to have

• Experience with MLOps (deployment, monitoring, feature stores, model lifecycle) and build/release pipelines
• Knowledge of C/C++ for high-performance, hardware-near libraries and Python bindings
• Experience in UX/product thinking for AI features (A/B testing, telemetry, metrics)

WHAT WE OFFER

• Benefit from flexible working hours, a home office arrangement and 30 vacation days per year
• With us, you can expect an intercultural environment with flat hierarchies, a familiar working atmosphere as well as independent work in dedicated teams
• Become part of a company with start-up spirit that combines the advantages of the Allianz Group
• Take advantage of our wide range of training and development opportunities and shape your individual career path
• Benefit, among other things, from annual bonus payments, additional benefits, health initiatives, employee restaurant and a company pension plan