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Est. Monthly
Estimated €8,529 - €11,444
Posted May 7, 2026 · 98 days agoLast seen August 13, 2026Est. expiry June 11, 2026

AI Architect

Principal AI Architect
Munich, Germany
Hybrid · Software Engineering
Full-time · Senior
German, English
No People Management
Masters
How this salary compares
Salary Context: AI Architect

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Munich, Germany"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€9,733–€19,574). The listed pay band (€711–€954) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.

Monthly salary comparison for AI Architect
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: AI Architect€7,355/per month€8,822/per month€10,350/per month
All roles in Munich, Germany€9,733/per month€14,308/per month€19,574/per month
Pay in our data — not quoted in ad (Senior)€711/per month€832/per month€954/per month
About the role

Join us! We’re always happy to hear from people who are eager to learn and grow, and share our values. Read more about the role and apply. About the role As our Principal AI Architect, you will act as a trusted advisor to our clients and a key contributor to our commercial growth, shaping AI opportunities from early-stage discussions through to scalable delivery. This isn't just about building models; it’s about architecting the future of how our clients operate. You will sit at the intersection of business value, cutting-edge research (GenAI, Agents, MLOps), and robust software engineering. You will guide senior-level engineers and consultants to turn "AI potential" into "production reality," ensuring our solutions are scalable, compliant, and transformative. What You’ll Do Architectural Leadership: Design and oversee the implementation of complex AI ecosystems, including advanced RAG architectures, multi-agent systems, and event-driven AI microservices. Commercial & Client Impact: You will support sales and pre-sales by shaping AI opportunities, contributing to proposals, and engaging in client discussions. Working with account and service line teams, you will translate client needs into scalable solutions and guide them from concept to production. You will also help develop reusable assets and capture learnings to strengthen future delivery. Strategic Advisory: Act as a high-level consultant for C-suite stakeholders, translating business challenges into technical AI roadmaps. Technical Excellence: Set the standard for AI engineering practices, from systematic LLM evaluation and "Agentic" workflows to robust MLOps/LLMOps pipelines. Innovation & Research: Stay ahead of the curve (diffusion models, multimodal UX, MCP) and develop reusable proprietary assets to accelerate client delivery. Governance & Ethics: Ensure all solutions meet the highest standards of AI safety and compliance, specifically regarding GDPR and the EU AI Act. Mentorship: Foster a culture of continuous learning, mentoring Senior AI Engineers and helping them bridge the gap between data science and production-grade software. Who We’re Looking For The Academic Foundation: An advanced degree (M.Sc. or Ph.D.) in Mathematics, Physics, Computer Science, or a related quantitative field (think: "Physics-Aware ML" or "High-Dimensional Statistics"). Consulting Mindset & Commercial Acumen: You bring a consulting mindset and are comfortable working with clients to shape ambiguous problems into clear solutions. You have experience supporting sales or proposals and can connect technical decisions to business outcomes. You communicate clearly across technical and non-technical audiences and balance hands-on expertise with commercial awareness. The Builder’s Soul: Deep, hands-on experience in Python and cloud-native environments (Azure, AWS, or GCP). You should feel at home with Databricks, Microsoft Fabric, or Snowflake. Generative AI Mastery: Proven track record of moving GenAI projects beyond the "Chatbot" phase into complex, integrated production systems. Linguistic Fluency: German skills at a C1/C2 is mandatory. You must be able to lead workshops and navigate complex legal/business discussions in German. Fluency in English is also required. Cloud & DevOps Savvy: Expert knowledge of IaC, Docker, and CI/CD pipelines. You believe that a model is only as good as its deployment. Preferred Certifications & Skills Cloud Architect or Data Engineer Associates (e.g., DP-600, AZ-204, or AWS Pro). Experience with Vector Databases (Qdrant, Pinecone) and Orchestration (LangChain, LlamaIndex). A background in professional consulting or agency environments. Futurice offers you Global Impact – Work with a leading digital consultancy that drives innovation in various industries across Europe Growth & Development – Take ownership of a key role in a fast-growing and agile organization. Culture & Collaboration – Join a team built on trust, transparency, and continuous improvement. Strategic Influence – Shape sales and business development strategy with high autonomy. A benefit package including Sports sponsorship, health and mobility benefits. Choose your laptop from a diverse list and use your company phone for private purposes. Compensation 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. Next steps If this sounds like the opportunity you’re looking for, please submit your application. Our form is simple: share your contact details and upload your attachments. We’d love to see your CV and a few lines about yourself and why you want to join Futurice. You can also include links to your LinkedIn, GitHub, or portfolio or any other materials you find relevant. After we receive your application, we’ll be in touch. If you move forward, the process includes an initial conversation to get to know each other, a deeper discussion with future colleagues about your skills, and a general chat about potential projects. Reference calls are also a standard part of our recruitment process. What’s it like to work here Ever since Futurice was founded, we’ve focused on creating a workplace people genuinely enjoy, Mondays included. We’ve built a welcoming culture where trust, kindness, and well-being matter as much as great work. Our atmosphere is open and warm, whether you’re in the office or working remotely. You’ll quickly feel part of the community where coffee chats, virtual fikas, or after-work hangouts happen naturally. Because our culture is shaped by all of us, every day, you’ll have an opportunity to influence how we work, connect, and evolve as a community. Across countries, teams, and time zones, everyone brings their own character, helping shape how we work, connect, and evolve together. At Futurice, new joiners aren’t expected to fit into a mold. Come as you are, whatever your background. We believe in the power of different perspectives, and diversity is a key part of our success at delivering customer value when they trust us with some of their most challenging and inspiring challenges. You can read more about our DE&I commitment here.

Job Details

Responsibilities

  • Design and oversee complex AI ecosystems, including RAG architectures and multi-agent systems
  • Support sales and pre-sales by shaping AI opportunities and contributing to proposals
  • Act as a strategic consultant for C-suite stakeholders to create technical AI roadmaps
  • Set standards for AI engineering practices, LLM evaluation, and MLOps/LLMOps pipelines
  • Research and develop proprietary assets using diffusion models and multimodal UX
  • Ensure AI safety and compliance with GDPR and the EU AI Act
  • Mentor Senior AI Engineers to bridge the gap between data science and production software

Requirements

  • Advanced degree (M.Sc. or Ph.D.) in Mathematics, Physics, Computer Science, or a related quantitative field
  • Consulting mindset and ability to translate ambiguous problems into clear solutions
  • Deep hands-on experience in Python
  • Experience with cloud-native environments (Azure, AWS, or GCP)
  • Proficiency with Databricks, Microsoft Fabric, or Snowflake
  • Proven track record of moving Generative AI projects into complex production systems
  • German language skills at C1/C2 level
  • Fluency in English
  • Expert knowledge of IaC, Docker, and CI/CD pipelines

Skills & Technologies

PythonAzureAWSGCPDatabricksMicrosoft FabricSnowflakeGenerative AIRAGMLOpsLLMOpsIaCDockerCI/CDQdrantPineconeLangChainLlamaIndex

Education Level

Masters

Recruitment Process

  1. 1
    Initial conversation to get to know each other
  2. 2
    Deep discussion with future colleagues about skills
  3. 3
    General chat about potential projects
  4. 4
    Reference calls
Seen 19 hours agoPartial Schema
Financial overview
€55.4M
Revenue
-€1.2M
Profit
-2.0%
Profit margin
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