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Swiss Re

Lead AI Architect

Swiss Re is hiring a Lead AI Architect in Madrid, Spain. Level rates it ; you can apply on Swiss Re.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks, RAG and NLP among its tools and skills.
  • Level classes it as a lead role.
  • Swiss Re has 237 other open roles on Level.

AI in this role

databricks
ragnlp

About Us

 

At Swiss Re, we build innovative, cloud‑native solutions that help Life & Health insurance companies around the world operate smarter, faster, and more securely. Our internal software house delivers modern SaaS and PaaS products used globally — from mature enterprise platforms like Magnum to new and rapidly scaling solutions.

With a technical community of more than 150+ engineers, architects, and cloud specialists across multiple countries, we design highly available, multi‑regional products built on cutting‑edge technologies and a strong engineering culture focused on quality, innovation, and resilience.

 

About the Role

 

We are looking for a AI Architect to lead architecture across our Data Analytics and AI/GenAI offerings.

You will design and shape a cloud-native, enterprise-grade SaaS environment built on Azure, using technologies such as Azure Data Factory, Databricks, Synapse, modern data lakehouse architecture, and supporting AI components powered by LLMs, RAG, OCR, NLP, and more.

This is a hands-on leadership role where you will combine high-level architecture with real implementation, experimentation, and guidance for engineering teams. You will be part of our technical leadership group, influencing product direction, platform evolution, and long-term technology strategy.

 

What You Will Do

 

Architecture & Design

 

  • Design scalable, secure, and resilient cloud-native platforms
  • Create architectures with self-healing and highly available capabilities
  • Model systems and define technical documentation and specifications

 

Technical Leadership

 

  • Guide engineering teams through best practices, design decisions, and innovation
  • Present architectural roadmaps to product and business stakeholders
  • Mentor engineers and drive strong engineering standards

 

Hands-on Engineering

 

  • Contribute to development, troubleshooting, and platform evolution
  • Lead PoCs exploring emerging technologies (AI/ML, data engineering, cloud services)
  • Support implementation with practical expertise in cloud, code, and infrastructure

 

Strategic Impact

 

  • Shape the long-term architecture vision for Data & AI platforms
  • Identify future opportunities in cloud, data, AI, and automation

 

About You

 

We don’t expect perfection — but we’re looking for someone who brings strong architectural thinking, a hands-on mindset, and the curiosity to push technical boundaries.

You have strong experience with:

 

  • Cloud Architecture: Enterprise-grade Azure solutions (AKS, networking, CDN, WAF, etc.)
  • SaaS Platforms: Multi-tenant, high-availability systems
  • System Design: Java/Spring MVC and distributed systems
  • Security: Zero Trust principles, authentication & network security
  • Integrations: REST, SOAP, event-driven patterns
  • DevSecOps: CI/CD, IaC, cloud automation, resilient infrastructure
  • Architecture Modelling: Technical specs, design documentation
  • Team Leadership: Coaching multicultural engineering teams

 

Bonus points for:

 

  • Experience with quality and vulnerability tools (SonarQube, Invicti, Aqua)
  • Additional non-Java programming background (Python, .NET, ideally Go)
  • Maven and/or Gradle experience

 

For Spain the base salary range for this position is between [EUR 60.000] and [EUR100.000] (for a full-time role). The specific salary offered considers: 
  • the requirements, scope, complexity and responsibilities of the role,
  • the applicant's own profile including education/qualifications, expertise, specialization, skills and experience.
  In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognize your achievements. Further you will enjoy a variety of global and location specific benefits.    Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

 

We accept only English CV.

 

About Swiss Re

 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

 

 

Keywords:  
Reference Code: 138672 

 

 

How we rate this

Lead AI Architect at Swiss Re rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGNLPDatabricks

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?
  3. What are the limits of Databricks that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: RAG, NLP, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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