Senior AI Engineer

Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.

We’re recruiting for a Senior AI Engineer to join us. We’re offering a competitive base salary. We’re looking for a Senior AI Engineer to take a leading role in designing and delivering enterprise‑grade AI solutions that make a real impact. You’ll combine deep technical expertise with collaborative leadership, working closely with product, architecture and security colleagues to ensure AI systems are safe, scalable and valuable. We encourage applications from people of all backgrounds and experiences and are committed to creating an inclusive and supportive environment.

What you’ll be doing:

• Providing technical leadership across the design and delivery of production AI and generative AI solutions
• Designing, building and operating scalable AI services using Python and Azure AI platforms
• Leading the development and optimisation of LLM and RAG‑based solutions beyond proof of concept
• Owning MLOps and GenAIOps practices including CI/CD, monitoring and lifecycle management
• Deploying and running containerised AI services using Kubernetes and AKS
• Setting and promoting engineering standards, patterns and best practice across teams
• Coaching, mentoring and supporting other engineers to grow their skills and confidence
• Collaborating with product, architecture, security and governance stakeholders to deliver trusted AI

Who we’re looking for:

• Extensive hands‑on experience building and running production AI and machine learning systems
• Strong Python skills and deep understanding of machine learning and evaluation fundamentals
• Proven experience delivering generative AI solutions using LLMs and RAG architectures
• Strong knowledge of Azure AI services and designing solutions for regulated environments
• Experience leading MLOps or GenAIOps practices, including CI/CD and platform automation
• Solid understanding of containerisation, Kubernetes and infrastructure as code
• Experience making and explaining complex technical decisions to varied stakeholders
• A collaborative approach with the ability to mentor others and influence positive outcomes

Benefits we offer:

• The opportunity to participate in our annual, performance‑related bonus plan and valuable share schemes
• Generous pension contribution
• Life assurance
• Healthcare Plan (permanent employees only)
• At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
• Competitive family leave
• Participate in our electric car scheme, which offers employees the option to hire a brand‑new electric car through tax efficient salary sacrifice (permanent employees only)
• There are many discounts we offer – both for our own products and at a range of high street stores and online
• We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience

Additional Information:

At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term‑time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.