At a Glance
- Tasks: Design and build AI solutions for real-world business challenges in reinsurance.
- Company: Join a leading reinsurance firm focused on innovation and technology.
- Benefits: Enjoy 25 days annual leave, private insurance, and a subsidised gym membership.
- Other info: Collaborative culture with opportunities for professional growth and community involvement.
- Why this job: Make a tangible impact by bridging AI and business in a dynamic environment.
- Qualifications: Experience in AI development, Python, and translating business needs into tech solutions.
The predicted salary is between 81000 - 99000 £ per year.
- Задачи
- Design, build, and pilot AI-enabled solutions for PL Re business problems through experimentation and rapid prototyping;
- Translate business use cases into secure, scalable, cloud-hosted AI solutions aligned with enterprise standards;
- Deliver hands-on full-stack and AI development for solutions that may transition into strategic or BAU platforms;
- Design prototypes with consideration for scalability, operability, data governance, and integration pathways;
- Research and evaluate emerging AI approaches, tools, and techniques;
- Apply AI research insights to experimentation, solution design, and technical direction;
- Ensure adherence to PL Technology engineering standards, architecture principles, and security controls;
- Partner with Enterprise Architecture and Information Security on governance and regulatory expectations;
- Ensure solutions respect data ownership, lineage, residency, and PII handling principles;
- Apply approved integration patterns when accessing platforms, data products, or external services;
- Share cloud and AI engineering insights, patterns, and lessons learned with the Global Experience Analysis engineering team;
- Bridge Business & AI experimentation and wider PL Re technology capabilities to accelerate AI adoption;
- Contribute to high-level logical and cloud architecture designs for AI use cases progressing beyond experimentation;
- Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles;
- Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation;
- Lead through influence by setting technical direction and standards without formal authority.
- Требования
- Demonstrable experience designing, building, and piloting AI-enabled solutions through rapid prototyping and experimentation with business stakeholders;
- Strong hands-on development experience with Python, APIs, and modern application architectures;
- Experience translating business problems into practical, secure, scalable solutions aligned with enterprise standards;
- Experience evaluating and applying AI technologies in regulated or risk-aware environments;
- Strong engineering judgement, balancing innovation with operational readiness and control;
- Strong ownership and accountability for delivery outcomes;
- Clear, confident communication with technical and non-technical stakeholders;
- Risk-aware, quality-driven mindset suited to a regulated financial services environment;
- Nice to have: AI, data, and analytics platforms on AWS or Azure, managed AI or foundation model services, actuarial or insurance technology environments, Dev Ops / Dev Sec Ops and enterprise CI/CD pipelines, enterprise architecture and design governance, Open AI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, Git Hub Copilot, or similar ecosystems.
- Условия
- 25 Days of annual leave with the option to buy or sell additional days;
- Adoption and fertility leave;
- Enhanced parental leave;
- Comprehensive private insurance coverage for employees and dependents;
- Group Life Insurance coverage of 9x basic annual salary;
- Group Income Protection of up to 75% of basic annual salary;
- Optical benefits;
- 15% Combined employee and employer savings and retirement contributions;
- Subsidized gym membership;
- Access to an Employee Assistance Program;
- Cycle to Work and Electric Car Salary Sacrifice Scheme;
- Time off for volunteering;
- Charitable matching of employee donations;
- Team-building days, social activities, and wellbeing initiatives;
- Reasonable adjustments are available during the recruitment process for applicants with disabilities.
- #J-18808-Ljbffr
ai engineer in reinsurance employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
StudySmarter Expert Advice🤫
We think this is how you could land ai engineer in reinsurance
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Enfint or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Enfint.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Enfint.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Enfint that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace ai engineer in reinsurance
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Enfint.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Enfint and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Enfint
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Enfint uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
