Job
- Level
- Senior
- Location
- Stuttgart, Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop production-grade AI solutions centered around agents, design secure data architectures, and optimize MLOps processes to achieve measurable business impact.
Job Technologies
Your role in the team
- Prototypes have become cheap. What counts is whether they work in a company's daily reality: integrated, secure and measurable. Most AI projects never get there. Not because the model is wrong, but because data, architecture and operations were never built for production.
- At Futurice, strategy, design and technology work in one team. As Principal AI & Data Architect, you make sure that what we design actually runs, and you are the technical voice that wins our clients' trust before a project even starts.
- We build agentic-first. Agents are not a feature on top of a system, they shape how it is designed. You know where that works, where it doesn't, and when a simple rule beats an LLM.
- There is more than one path into this role: AI or ML engineering, data engineering and analytics, cloud and platform architecture, or designing AI platforms, governance and operating setups for large organisations.
- Technical lead in pursuits: You are the technical face in proposals and pitches. You shape the architecture, estimate effort realistically and build the technical credibility that wins the work.
- Agentic-first architecture and build: Design and build production-grade AI solutions with agents at the core, from multi-agent systems and RAG to AI features and workflows people use every day.
- Agent-ready systems: Design interfaces, data and permissions so that agents, including those of our clients' customers, can work with systems safely.
- Data foundations: Shape and build the data platforms, pipelines and analytics that AI depends on, on Azure, AWS or GCP and with tools like Databricks, Snowflake or Microsoft Fabric.
- From pilot to measurable impact: Take solutions into operation with MLOps/LLMOps, systematic evaluation, monitoring and cost control, and make their effect measurable for the business case.
- AI-native engineering: Help shape how we build with agents ourselves: coding agents, evaluation and review, for more speed and quality in every project.
- Secure, compliant, independent: Your solutions are secure by design, meet GDPR and EU AI Act requirements and stay modular, without lock-in to a single AI vendor.
- Raise the bar: Coach engineers, build reusable assets and grow our AI and data capability in Germany.
Our expectations of you
Qualifications
- Production track record: You have built and run AI, ML or data-intensive systems. You can walk us through a concrete example: what went live and what it changed.
- Engineering depth: Strong Python and cloud-native engineering on at least one major cloud, including IaC, containers and CI/CD.
- Sound judgement: You make good calls under uncertainty and know that not every problem needs an LLM.
- AI-native way of working: AI tools and agents are a natural part of how you design, code and test. And you bring others along.
- Strong client communication: You explain technical decisions clearly and confidently, from engineers to the board.
- Languages: Fluent English. German is a strong plus and required for some of our clients.
Experience
- Agentic first: Experience with agentic systems beyond the chatbot: tool use, orchestration, RAG and systematic LLM evaluation in integrated systems.
- Data know-how: Solid experience with data modelling, pipelines and modern data platforms.
- Pre-sales experience: You have shaped the technical side of proposals and can hold your own in a pitch.
What we offer
- We support your growth with a wide range of projects, tools, and learning opportunities. Our client portfolio is diverse, offering a variety of challenges and problem spaces that give you room to explore new areas and develop your skills in meaningful ways.
- You'll be encouraged and inspired throughout your journey by a community of motivated, multidisciplinary colleagues across development, design, data, AI and strategy.
- You'll get a thorough local and global onboarding, plus your very own Futubuddy to support you throughout your journey with us.
- And to top it off, you'll have the chance to join our Onboarding Camp.
- Beyond that, here are some of our Benefits: Hybrid work - Work from the office, home, or at the client, depending on team and project needs. We recommend 2-3 days in the office per week, with possibilities for short-term remote work from abroad.
- Occupational Health Insurance - An annual budget of €600 for health services not covered by statutory insurance (e.g. glasses, dental).
- Sports Club membership - Access to hundreds of fitness and wellness facilities via Urban Sports Club or EGYM WellPass.
- Mobility Budget - Up to €30/month to support your commute.
- A full list of all benefits will be provided with the Job offer.
- Your complete compensation package will be discussed in detail during the recruitment process. Our salary model is designed to offer a range of levels based on three factors: skills, responsibilities and impact.
- We are dedicated to fostering an inclusive and supportive work environment where every employee has the opportunity to thrive and advance in their career and become better versions of themselves.
- During the initial interview round, we will discuss the salary range for this position. We offer a fixed salary with the possibility of performance-based bonuses and additional benefits.
Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Futurice
At Futurice, we develop digital services that make people's lives better. Together with our clients, we create transformative companies and services that redefine the way humans and technology interact.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Internet, IT, Telecommunication
