Requirements Engineer II
Swiss Re is hiring a Requirements Engineer II in Mexico City, Mexico. Level rates it ; you can apply on Swiss Re.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 237 other open roles at Swiss Re.
AI in this role
About the Team
In this position, you are part of a team supporting the North American Surety technology landscape to facilitate Swiss Re Corporate Solution insurance products. The team's primary focus is to consistently provide superior customer service to our Surety line underwriting business partners. We focus on enabling strategic business changes to the North American region while also responding to issues and continuing to find ways to deliver operational efficiencies. To ensure consistent customer focus, strong relationships have been built with our business partners and vendors. The Requirements Engineer serves as the principal conduit between the business and the software development team throughout the lifecycle of an issue or change request.
Role Purpose
The Requirement Engineer is responsible for designing and validating business Surety systems end-to-end, combining strong hands-on business analysis and engineering capabilities with emerging system-level thinking.
They deliver production-grade business impactful systems through thorough developing solid understandings of business needs, grooming them into solution options, and translating them into robust quality technical designs for execution. The role is expected to also evolve towards a future state where system specification, AI-assisted engineering and agentic delivery models become more present.
This role is explicitly part of an evolving capability model: candidates are expected to be strong requirement engineers today, with the ability to grow into end-to-end system design, specification and validation roles over time.
Key Responsibilities
End-to-End System Delivery
• Work with Global Digital & Tech tech service teams to support strategic capability design / integration with NA landscape while ensuring quality implementation (design, testing, rollout).
• Become E2E landscape expert as the basis to support production system issue root cause analysis and solution options to address.
Translation of Intent & System Design
• Develop stakeholder relationships across the business and Global Digital and Tech service landscape
• Gather and translate business requirements into scalable system design and working implementations
• Collaborate closely with Technical Product Owners to refine requirements and resolve ambiguity
• Define system components, interfaces and data flows, breaking down complex problems into composable technical solutions
Integration, Quality & Operations
• Design and implement integrations across APIs, messaging systems and platforms, applying both synchronous and asynchronous patterns
• Own production stability focused on deployment quality (design/testing adequacy) and addressing NA system production issues in an efficient manner
AI-Assisted Engineering (Emerging)
• Use AI-assisted development tools to accelerate system delivery where appropriate with a focus on translation of requirements into actionable development work packages
• Validate generated outputs for correctness, performance and adherence to standards
• Apply emerging AI capabilities pragmatically and begin structuring systems to support future agentic development
Required Experience & Capabilities
• 5–10+ years in technology requirements engineering, system design or related roles
• Proven ability to design and deliver production systems end-to-end
• Solid understanding of APIs, data models, integration patterns and distributed systems
• Experience working across full development lifecycle (design → build → deploy → operate)
• Ideal candidate would have experience working with Insurance software development with a focus on Surety line products
Growth Potential Signals
• Ability to think in end-to-end systems, not just components
• Strong problem decomposition and abstraction capability
• Experience developing, reviewing and validating complex implementation requirements
• Exposure to AI-assisted development tools or active interest in emerging engineering paradigms
• Strong technical communication and structured thinking
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 15,000 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.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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Reference Code: 138769
How we rate this
Requirements Engineer II at Swiss Re rates 23 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
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