AI Solutions Architect – m/f/d

• As an AI Solutions Architect, you will hold a key role: you are the crucial link between our strategic consulting and technological delivery.
• Architecture & Prototyping (~50%): System

Architecture: You design scalable end-to-end architectures for AI applications (e. g., RAG pipelines, multi-agent systems) and plan their integration into existing IT landscapes.

• Functional Prototypes (Po Cs): You design and build prototypes hands-on to make complex use cases tangible quickly and to convince client stakeholders.
• Product Development: You shape the technical concept and logical design of our own software tools for "Good Work."
• Technical Consulting & Delivery (~30%): Technology

Evaluation: You assess technology stacks independently (e. g., commercial APIs vs. self-hosted open source, EU hosting vs. hyperscalers) and explain trade-offs clearly to decision-makers.

• Interface & Client

Management: You act as the technical lead in projects, translate business requirements into blueprints, and manage communication with clients' internal IT teams.

• LLMOps & Governance: You own concepts for testing, monitoring and guardrails, and embed them—together with ethics and legal expertise—following the principle of Compliance by Design (EU AI Act, data protection).
• Pre-Sales & Tech Strategy (~20%): Sales Enablement & Scoping: You support the founding team in pitches, translate customer needs into feasible technical concepts, and define the boundaries of what we can and want to deliver technologically.
• "Make-or-Buy" Decisions: You maintain an overview of our technical capabilities and make informed decisions about when to build in-house, when to buy external services or tools, and at which point a permanent internal team expansion becomes strategically necessary.
• Tech Leadership as a

Perspective: You act as a technical sparring partner for the founding team and, as the company grows, help shape hiring and the structure of our future engineering team.

Requirements

• Proven experience: Minimum 5 years in software engineering, system architecture or data/ML engineering, with demonstrable experience in production Gen AI systems.
• Current AI practice & frameworks: Demonstrable, practical experience with production Gen AI (LLMs, RAG architectures, agentic patterns) in recent years.
• Strong Python skills and familiarity with modern frameworks such as Lang Chain, Llama Index, Lang Graph and MCP.
• Hands-on builder (T-shaped): You not only design architectures on a whiteboard but also build functioning prototypes yourself.
• Cloud & on-prem experience: You are familiar with cloud infrastructures (AWS, Azure, GCP) as well as on-premise setups and bring a deliberate stance on digital sovereignty.
• Consulting strength & communication skills: You have experience in client engagements or close customer collaboration.
• Language skills: You are business fluent in German and English.
• Strategic thinking: You think beyond code, have a sense for feasibility, can estimate resources accurately, and are keen to eventually take on leadership of a growing engineering team.
• Values & motivation: Genuine commitment to our mission "Good AI. Good Work.", digital sovereignty, fair distribution of productivity gains and participatory decision-making.
• Nice to have: Experience in regulated or sensitive contexts; deeper MLOps expertise; pre-sales/solution-strategy experience for pitches; open-source contributions or relevant publications.
• #J-18808-Ljbffr