Solution Engineer

We're recruiting a Solutions Engineer to join Royal London Asset Management's Technology Architecture team as part of our AI acceleration journey. This newly created role strengthens the existing team to support the ongoing adoption and embedding of AI into RLAM's technology and design landscape. In this role, you'll work closely with the Data & AI Transformation team and a broad range of stakeholders across the business and the RLAM change function, feeding into solution design, adoption and delivery. This is a predominantly technical role, requiring a decent grasp of core cloud technologies and services, particularly within the Microsoft Azure ecosystem, with exposure to Snowflake. This role is ideal for someone with a strong technical foundation, exposure to AI projects, and the ambition to grow their expertise in a rapidly evolving AI environment., * Design and support secure, end - to - end solutions for AI - enabled services across Microsoft Azure, Microsoft 365 and Snowflake.

• Work on integration patterns between cloud platforms, data services and third - party applications to enable scalable AI use cases.
• Contribute to the adoption and productisation of AI solutions, supporting the journey from proof - of - concept through to production.
• Partner with the Data & AI Transformation team, business stakeholders and the RLAM change function to support solution design and adoption.
• Apply good architectural practices with a focus on security, data governance, resilience, cost control and responsible AI.
• Support data integration and preparation approaches to enable AI and analytics use cases.Share knowledge and contribute to team capability through reusable patterns, documentation and collaboration.

Do you have experience in Communication skills?, * Degree in a relevant field such as technology, data, business, or a related discipline.

• Strong technical background, particularly across Microsoft Azure and Snowflake.
• Experience in data, AI, governance, risk, compliance or privacy - related roles, ideally within a regulated environment.
• Working knowledge of AI and machine - learning concepts, including LLMs and the AI lifecycle.
• Understanding of key regulatory frameworks such as UK GDPR and the EU AI Act, with awareness of broader data protection and security principles.
• Awareness of responsible and ethical AI concepts (e.g. fairness, transparency, explainability), with an interest in developing expertise as the landscape evolves.
• Able to build effective relationships with stakeholders across a matrix organisation.
• Comfortable working in evolving or ambiguous environments and helping bring structure and clarity.
• Strong communication skills, with the ability to explain complex technical or regulatory topics clearly to non - specialists.
• Detail - focused, with a structured and organised approach to documentation.
• Proactive, self - motivated and keen to learn, with a strong interest in AI and emerging governance practices.Solutions - focused and change - oriented, with confidence supporting teams through new ways of working.

Royal London Asset Management (RLAM), part of the Royal London Group, is one of the UK's leading fund management companies working with a wide range of clients across the globe to achieve their investment goals. Our long-term, client-driven focus means that we have a long-standing commitment to responsible investment. We act as responsible stewards of our clients' capital, exercising their rights and influencing positive change. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.