AI Platform Engineer
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Job Summary
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.
Through telling it like it is owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role.
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 youll 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. Youll 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.
Experience using infrastructure as code CI/CD and automated delivery practices.
Experience developing and supporting cloud-native applications APIs services or platforms.
Experience using logs metrics traces and telemetry to improve platform performance and reliability.
Experience designing solutions with resilience scalability observability and operability in mind.
Evidence of improving the dependability of production systems through practical engineering changes.
A track record of delivering technology capabilities into production and supporting their ongoing operation.
Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
A collaborative approach to working with engineering data security and business stakeholders.
An interest in AI automation and agentic systems combined with sound judgement about where they add value.
Desirable
Experience building AI-powered applications agents copilots or intelligent automation.
Experience with Retrieval-Augmented Generation prompt engineering vector search or enterprise knowledge retrieval.
Experience with major public cloud platforms and associated AI services.
Experience with data platform technologies and governance concepts including metadata lineage cataloguing and access control.
Experience delivering solutions in a regulated or controlled environment.
Experience with MLOps AI evaluation monitoring and the operational support of AI solutions.
Knowledge of containerisation orchestration and API-first architecture.
Familiarity with responsible AI model governance and AI safety controls.
What Success Looks Like
- Delivering secure scalable platform capabilities used by multiple business teams.
- Moving AI use cases into production with appropriate reliability observability and governance.
- Replacing routine manual activity with controlled automation and self-service capabilities.
- Improving monitoring and alerting so the team can identify and address issues before users report them.
- Providing clear reporting on platform usage cost performance adoption and outcomes.
- Increasing organisational capability through reusable assets documentation and knowledge sharing.
- Continuously improving the reliability efficiency and user experience of our AI and data platforms.
What we offer:
Were dedicated to supporting your wellbeing and helping you thrive both at work and beyond. Our benefits are designed to help you balance your professional and personal life and financially plan for the future. Our UK benefits include:
- A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
- Access to our Share Save and Share Incentive Plan alongside financial wellbeing and support services to help give you real confidence to put your money to work.
- Enjoy 38 days annual leave (including bank holidays) with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments.
- Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity adoption surrogacy and paternity leave - because supporting families is an important part of our inclusive culture.
- Health & Protection cover includes Private Healthcare Critical Illness cover and Life Assurance for you with additional family options - for peace of mind.
To explore more about life at M&G and our full benefits offering visit Life at M&G
At M&G we strive to have a diverse workforce and an inclusive culture underpinned by our policies and employee-led networks that offer networking support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds across gender ethnicity age disability sexual orientation and more including neurodivergent individuals career returners and those with military service experience.
We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage please contact us at:
Required Experience:
IC
