Senior AI Engineer

Legal & General

Job title:

Senior AI Engineer

Company

Legal & General

Job description

Company DescriptionLegal & General supports the savings, protection and retirement needs of around 14 million people, through our portfolio of retail and workplace businesses.Our Retail division helps people enjoy a more colourful retirement, both directly and through their employers, including Lifetime Mortgages, Retirement Interest Only Mortgages and financial advice on our range of lending products.We are the UK’s number one individual life insurer, and also provide Group Protection products for employers – all helping people to plan for the unexpected. We support home buying through our Mortgage Club – the UK’s largest – and our award-winning Surveying Services team. And our fintech team finds and supports socially useful start-ups and scale-ups working in the workplace, home, insurance and wealth areas.Joining us means helping create brighter financial futures for all our customers.Job DescriptionWe have an exciting new opportunity for Senior AI Engineer to be part of the L&G Retail’s AI Practice. The role holder will be working with cross-functional teams and specialist areas, embedding best practices and thinking in building innovative solutions for Artificial Intelligence and enhance existing solutions and systems within an agile, GitOps environment to help achieve business goals and deliver successful outcomes.What you’ll be doing:

  • Delivering new Artificial Intelligence solutions, resolve issues and input to the definition of new approaches where applicable to deliver valuable features to our Retail customers.
  • Developing solutions for managing and operating Machine Learning models and LLMs.
  • Building application Artificial Intelligence back-end applications using Python and front-end using Angular, TypeScript, CSS and HTML.
  • Developing Infrastructure-as-Code (IaC), Configuration-as-Code (CaC) and Policy-as-Code patterns and solutions using Terraform, Docker, Kubernetes, Helm, YAML and Kustomize.
  • Contributing to larger projects and take a lead on small to medium sized work items inputting and contributing to design, build and deployment phases.
  • Using metrics to make data-driven decisions to continuously improve the approaches to deployment, monitoring and operations, to enable simplified release and run activities providing performant and resilient systems in production. Sharing learning with peers, customers and other team members.
  • Ensuring continual improvements to the knowledge and understanding of AI, GitOps, InfoSec and DevOps to actively contribute to the success of the team, Division and wider Business as a whole.
  • Being able to understand the benefits and use cases of an AI bot orchestrator and can clearly communicate, explain and evangelise those benefits to a variety of technical and non-technical stakeholders.
  • Ensuring business and system changes follow best business AI practices and the correct change process and methodology, including the IT Change Management Standard and Responsible AI.

Qualifications

  • Professional certification or degree in AI Engineering preferred but not essential, with demonstrable experience considered an equivalent.
  • An understanding of or passion for AI and ML
  • Azure Cloud, DevOps, GitOps and MLOps knowledge is preferable
  • Test-Driven / Behaviour-Driven Development methods and frameworks CI/CD, Continuous Testing, DevOps Tools and Technologies
  • Exposure to Azure IaaS, PaaS and SaaS Connectivity
  • Understanding of Azure Networking (Express Route, Virtual Networks, ASG / NSG, Azure Firewall)
  • Experience in Kubernetes, Helm, Kustomize, Terraform and YAML
  • Experience in Python service development and deployment
  • Experience in developing applications in Angular
  • Experience in NOSQL databases
  • Experience in building solutions for Machine Learning, AI and RAG frameworks
  • Experience in building GitOps and MLOps workflows
  • Experience in coaching and mentoring junior team members in both technical aspects and process such as release management and change management

Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:

  • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes
  • Generous pension contribution
  • Life assurance
  • Private medical insurance (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
  • There are the many discounts we offer – both for our own products and at a range of high street stores and online
  • In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart

Additional InformationLegal & General is a leading financial services group and major global investor, named in 2023, for the second year running. Rated top in our sector and top for inspirational leadership, we have a strong heritage and an exciting future.We aim to build a better society for the long term by investing our customers’ money in things that make life better for everyone.If you join us, you’ll be part of a welcoming 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 strive to be open, mindful and inclusive, so are always willing to discussing flexible working arrangements and reasonable accommodations for candidates with specific needs.If you’re open to find out more, we’d love to hear from you.

Expected salary

Location

Hove, East Sussex

Job date

Fri, 09 Aug 2024 05:14:42 GMT

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