At a Glance
- Tasks: Design and build AI platforms, automate operations, and enhance user experience.
- Company: M&G, a leading firm with over 175 years of innovation in finance.
- Benefits: Flexible working arrangements, competitive salary, and support for your success.
- Other info: Opportunity for career growth in a supportive and innovative environment.
- Why this job: Join a dynamic team to shape the future of AI in finance.
- Qualifications: Experience in cloud platforms, software engineering, and automation.
The predicted salary is between 63000 - 77000 £ per year.
At M&G, our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
The AI and Data Platforms team designs, builds and runs the platforms that enable our organisation to adopt AI and data capabilities. We own the full platform lifecycle, from architecture and engineering through to operations and continuous improvement. As an AI Platform Engineer, you'll extend our platform capabilities, embed AI and automation into platform operations, and help teams across the business adopt AI solutions safely and effectively. This is a hands-on engineering role that combines feature delivery with responsibility for resilience, observability, governance and measurable outcomes. You'll work closely with Product Owners, Architects, Engineers, Security teams and business stakeholders to deliver secure, scalable and reliable platform capabilities.
Main Responsibilities
- Platform delivery
- Design, build and deliver new platform capabilities across a multi-cloud environment.
- Contribute to solution design, technical decisions and implementation.
- Build production-ready services, APIs, automation and platform components.
- Apply modern engineering practices, including automated testing, CI/CD, infrastructure as code, security by design and observability.
- Take platform capabilities from initial design through to production use and ongoing improvement.
- AI-driven platform operations
- Apply AI and agentic capabilities to improve platform operations and engineering workflows.
- Build automation and agents that support environment provisioning, onboarding, access management, fault diagnosis and remediation.
- Automate the operational lifecycle of environments, workspaces, resources, agents and permissions.
- Develop self-service capabilities that reduce manual effort while maintaining appropriate controls.
- Evaluate emerging AI capabilities and recommend practical approaches to adoption.
- Resilience, reliability and service quality
- Design solutions that remain reliable and predictable when failures occur.
- Build for known failure modes using appropriate retry, isolation, recovery and service degradation patterns.
- Test recovery processes and use the results to strengthen platform resilience.
- Implement monitoring, alerting, telemetry and operational dashboards.
- Define and track service measures that reflect user needs and platform performance.
- Investigate and resolve operational issues, continuously improving platform reliability and user experience.
- Measurement and value
- Build reporting, telemetry and analytics that provide clear visibility of platform usage, cost, performance and outcomes.
- Support the definition and tracking of KPIs, OKRs and service measures.
- Develop reporting that demonstrates adoption and business value to technical stakeholders and senior audiences.
- Use operational and user data to guide platform decisions and continuous improvement.
- Enablement and adoption
- Work with engineering, data and business teams to design, integrate and support AI use cases.
- Help teams move AI use cases into secure and reliable production environments.
- Develop reusable patterns, standards, documentation and self-service capabilities.
- Support user onboarding, enablement and go-live activities.
- Share knowledge and promote consistent engineering practices across teams.
- Gather feedback and use it to improve the platform and user experience.
- Governance, security and responsible AI
- Make sure platform capabilities align with enterprise security, governance, privacy and risk requirements.
- Support the explainability, auditability and transparency of AI-enabled capabilities.
- Apply appropriate controls and guardrails throughout the AI lifecycle.
- Work with data governance, cataloguing, lineage and access-management capabilities where required.
- Contribute to a strong control environment and support the responsible adoption of AI.
Key Knowledge, Skills and Experience
- Essential
- Demonstrable experience building and operating cloud-based platforms and services.
- Strong understanding of cloud fundamentals, including networking, identity and access management, security and operational controls.
- Strong software engineering or scripting capability, with experience working in production codebases.
AI Platform Engineer employer: mgpru
At M&G, we pride ourselves on being an exceptional employer that fosters a culture of integrity, collaboration, and innovation. Our commitment to employee wellbeing is reflected in our flexible working arrangements and comprehensive support systems, ensuring that every team member can thrive both professionally and personally. With over 175 years of heritage in the financial services sector, we offer unparalleled opportunities for growth and development, making us an ideal choice for talented individuals seeking meaningful and rewarding careers in the heart of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer
✨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 mgpru 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 mgpru.
✨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 mgpru.
✨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 mgpru 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 Platform Engineer
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 mgpru.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at mgpru 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 mgpru
✨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 mgpru 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.
