Mulesoft AI — Zurich Insurance (sede Ticino)
NewCHF 51'500 - 88'000
Zurich Insurance (sede Ticino) · Lugano (TI)
- Location
- Lugano
- Contract
- full-time
- Posted
- Yesterday
SalaryCHF 51'500 - 88'000
Role overview
ZCC Zurich Capability Center is looking for a : Junior–Mid MuleSoft AI Developer Location: Hybrid (CdMx toreo area, GDL wework Landmark) Role Overview We are seeking a motivated Junior–Mid MuleSoft AI Developer to design, build, and maintain integration solutions using the MuleSoft Anypoint Platform, with a focus on incorporating AI-driven capabilities.
This role involves working closely with cross-functional teams to deliver scalable APIs, data integrations, and intelligent automation solutions, including emerging AI agent-based integration patterns.
- ZCC Zurich Capability Center is looking for a : Junior–Mid MuleSoft AI Developer Location: Hybrid (CdMx toreo area, GDL wework Landmark) Role Overview We are seeking a motivated Junior–Mid MuleSoft AI Developer to design, build, and maintain integration solutions using the MuleSoft Anypoint Platform, with a focus on incorporating AI-driven capabilities.
- This role involves working closely with cross-functional teams to deliver scalable APIs, data integrations, and intelligent automation solutions, including emerging AI agent-based integration patterns.
- Design, develop, and implement APIs and integrations using MuleSoft Anypoint Platform Build and maintain RESTful and/or SOAP-based services Collaborate with architects and senior developers to deliver API-led connectivity solutions Integrate AI/ML services (e.g., OpenAI, Azure AI, or similar) into MuleSoft workflows Develop reusable assets such as RAML specifications, connectors, and templates Troubleshoot and resolve integration issues across environments Participate in code reviews, testing, and deployment processes Monitor APIs and integrations using MuleSoft tools and implement performance improvements Document technical designs, APIs, and integration flows Ensure adherence to security, governance, and best practices Design and implement LLM-enabled integrations Support implementation of MuleSoft Agent Fabric to enable AI-driven orchestration patterns Model Context Protocol (MCP) and MCP bridge Assist in building agent-enabled integration flows that can be consumed by AI agents and digital assistants Implement and follow AI/LLM governance controls Required
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 2–5 years of experience in software development or integration Hands-on experience with MuleSoft (Anypoint Studio, API Manager, Runtime Manager) Knowledge of DataWeave, RAML, and API lifecycle management Experience with REST APIs, JSON, XML, and web services Basic understanding of cloud platforms (Azure, AWS, or GCP) Exposure to AI/ML APIs or services (e.g., OpenAI, Azure Cognitive Services, etc.) Familiarity with Git, CI/CD pipelines, and Agile methodologies Preferred Skills MuleSoft certification (e.g., MuleSoft Certified Developer – Level 1) Experience with event-driven architectures and messaging systems (Kafka, JMS, etc.) Understanding of microservices architecture Knowledge of API security (OAuth 2.0, JWT, etc.) Experience integrating AI use cases such as chatbots, document processing, or automation Exposure to DevOps tools (Jenkins, Azure DevOps, GitHub Actions) Exposure to LLM orchestration frameworks and prompt-driven workflows Experience with AI agent integrations or copilots interacting with APIs Understanding of MCP (Model Context Protocol) or similar AI integration standards Familiarity with Agent-based architectures and automation workflows Understanding of AI governance, responsible AI practices, and secure data handling Soft Skills Strong problem-solving and analytical thinking Effective communication and collaboration skills Ability to work in a fast-paced environment Eagerness to learn and grow in AI and integration technologies Ability to adapt to emerging AI integration patterns and enterprise platforms Who we are Looking for a challenging and inspiring work environment where you can make a difference?
- At Zurich millions of individuals and businesses place their trust in our products and services every day.
Main responsibilities
- Design, develop, and implement APIs and integrations using MuleSoft Anypoint Platform Build and maintain RESTful and/or SOAP-based services Collaborate with architects and senior developers to deliver API-led connectivity solutions Integrate AI/ML services (e.g., OpenAI, Azure AI, or similar) into MuleSoft workflows Develop reusable assets such as RAML specifications, connectors, and templates Troubleshoot and resolve integration issues across environments Participate in code reviews, testing, and deployment processes Monitor APIs and integrations using MuleSoft tools and implement performance improvements Document technical designs, APIs, and integration flows Ensure adherence to security, governance, and best practices Design and implement LLM-enabled integrations Support implementation of MuleSoft Agent Fabric to enable AI-driven orchestration patterns Model Context Protocol (MCP) and MCP bridge Assist in building agent-enabled integration flows that can be consumed by AI agents and digital assistants Implement and follow AI/LLM governance controls Required
Key requirements
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 2–5 years of experience in software development or integration Hands-on experience with MuleSoft (Anypoint Studio, API Manager, Runtime Manager) Knowledge of DataWeave, RAML, and API lifecycle management Experience with REST APIs, JSON, XML, and web services Basic understanding of cloud platforms (Azure, AWS, or GCP) Exposure to AI/ML APIs or services (e.g., OpenAI, Azure Cognitive Services, etc.) Familiarity with Git, CI/CD pipelines, and Agile methodologies Preferred Skills MuleSoft certification (e.g., MuleSoft Certified Developer – Level 1) Experience with event-driven architectures and messaging systems (Kafka, JMS, etc.) Understanding of microservices architecture Knowledge of API security (OAuth 2.0, JWT, etc.) Experience integrating AI use cases such as chatbots, document processing, or automation Exposure to DevOps tools (Jenkins, Azure DevOps, GitHub Actions) Exposure to LLM orchestration frameworks and prompt-driven workflows Experience with AI agent integrations or copilots interacting with APIs Understanding of MCP (Model Context Protocol) or similar AI integration standards Familiarity with Agent-based architectures and automation workflows Understanding of AI governance, responsible AI practices, and secure data handling Soft Skills Strong problem-solving and analytical thinking Effective communication and collaboration skills Ability to work in a fast-paced environment Eagerness to learn and grow in AI and integration technologies Ability to adapt to emerging AI integration patterns and enterprise platforms Who we are Looking for a challenging and inspiring work environment where you can make a difference?
- At Zurich millions of individuals and businesses place their trust in our products and services every day.
- Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence.
- Imagine if you could help people do this all over the world.
- You’d give them confidence and reassurance by protecting what they love most.
- It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.
- So be challenged.
- Be inspired.
- Help us make a difference.
- At Zurich we are an equal opportunity employer.
- We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.
Application process
- Enviar candidatura ahora
Additional details
- Responsibilities Design, develop, and implement APIs and integrations using MuleSoft Anypoint Platform Build and maintain RESTful and/or SOAP-based services Collaborate with architects and senior developers to deliver API-led connectivity solutions Integrate AI/ML services (e.g., OpenAI, Azure AI, or similar) into MuleSoft workflows Develop reusable assets such as RAML specifications, connectors, and templates Troubleshoot and resolve integration issues across environments Participate in code reviews, testing, and deployment processes Monitor APIs and integrations using MuleSoft tools and implement performance improvements Document technical designs, APIs, and integration flows Ensure adherence to security, governance, and best practices Design and implement LLM-enabled integrations Support implementation of MuleSoft Agent Fabric to enable AI-driven orchestration patterns Model Context Protocol (MCP) and MCP bridge Assist in building agent-enabled integration flows that can be consumed by AI agents and digital assistants Implement and follow AI/LLM governance controls Required
- Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) 2–5 years of experience in software development or integration Hands-on experience with MuleSoft (Anypoint Studio, API Manager, Runtime Manager) Knowledge of DataWeave, RAML, and API lifecycle management Experience with REST APIs, JSON, XML, and web services Basic understanding of cloud platforms (Azure, AWS, or GCP) Exposure to AI/ML APIs or services (e.g., OpenAI, Azure Cognitive Services, etc.) Familiarity with Git, CI/CD pipelines, and Agile methodologies Preferred Skills MuleSoft certification (e.g., MuleSoft Certified Developer – Level 1) Experience with event-driven architectures and messaging systems (Kafka, JMS, etc.) Understanding of microservices architecture Knowledge of API security (OAuth 2.0, JWT, etc.) Experience integrating AI use cases such as chatbots, document processing, or automation Exposure to DevOps tools (Jenkins, Azure DevOps, GitHub Actions) Exposure to LLM orchestration frameworks and prompt-driven workflows Experience with AI agent integrations or copilots interacting with APIs Understanding of MCP (Model Context Protocol) or similar AI integration standards Familiarity with Agent-based architectures and automation workflows Understanding of AI governance, responsible AI practices, and secure data handling Soft Skills Strong problem-solving and analytical thinking Effective communication and collaboration skills Ability to work in a fast-paced environment Eagerness to learn and grow in AI and integration technologies Ability to adapt to emerging AI integration patterns and enterprise platforms Who we are Looking for a challenging and inspiring work environment where you can make a difference?
Questions about this listing
What salary does Zurich Insurance (sede Ticino) offer for this role?
Zurich Insurance (sede Ticino) lists CHF 51'500 - 88'000 gross per year for this position in Lugano. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Zurich Insurance (sede Ticino) offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Zurich Insurance (sede Ticino) during the application process, since these details can vary by role even within the same contract category.
Do I need the G permit to apply for this role in Ticino as an Italian cross-border worker?
Yes, if you are resident in Italy within the 20 km border zone. The Swiss employer files the G-permit application at the Ticino cantonal migration office after the contract is signed — first issuance takes 2-6 weeks, then automatic yearly renewal for as long as the employment continues. Weekly return to your Italian home is required to keep the status. Note: this listing allows remote work — teleworking above 25 % of your time can shift your social-security base to Italy, so confirm the agreed remote share with HR before signing.
How do I apply for this position at Zurich Insurance (sede Ticino)?
Use the "Apply now" button on this page — it links directly to Zurich Insurance (sede Ticino)'s original listing at careers.zurich.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
