AI Solutions Architect – m/f/d

Team Passerelle

AI Solutions Architect for Team Passerelle, a Berlin-based AI consultancy. Key role in connecting strategic advice with technological implementation.

Posted 7/27/2026full-timeBerlin • 🇩🇪 GermanyMid-LevelSenior💰 €90,000 - €110,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformOpen SourcePython

About the role

Key responsibilities & impact

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 (PoCs): 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

What you’ll need

Proven experience: Minimum 5 years in software engineering, system architecture or data/ML engineering, with demonstrable experience in production GenAI systems.
Current AI practice & frameworks: Demonstrable, practical experience with production GenAI (LLMs, RAG architectures, agentic patterns) in recent years.
Strong Python skills and familiarity with modern frameworks such as LangChain, LlamaIndex, LangGraph 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.

Benefits

Comp & perks

Real impact & shared values: A work environment that combines technological innovation with social responsibility and sustainable values.
Visibility & network: Engagements with top stakeholders from politics, industry and trade unions, offering high personal visibility.
High autonomy: Flat structures, a deliberate absence of micromanagement, and real ownership of your accounts and topics.
Flexible setup: Remote-first with a core team in Berlin and flexible working hours that fit your life.
Standards: 30 days of vacation, a personal learning & development budget and state-of-the-art work equipment.
Fair compensation: A transparent salary range of €90,000 to €110,000 gross p.a. based on a 40-hour week (depending on experience).
Long-term perspective: The role is initially limited to one year due to our agile startup phase. As we are building sustainably, a long-term collaboration is our clear objective.