Senior AI Engineer

One of the key priorities at LPPI is ensuring that our people work every day in an empowered, supportive, diverse and inclusive culture.

Practically, this means recognising and valuing the uniqueness of every individual in terms of background, experience, beliefs and circumstances.

This starts with the recruitment process, where we partner with agencies who share our common goal and advertise on a variety of job boards to access the broadest spectrum of candidates.

And once successful applicants are on board, we trust our people to work in the way that works best for them, which typically involves a mix of office and home working, plus an engagement model to ensure frequent two-way feedback.

We are very proud of our culture at LPPI and the benefits it brings to both our people and the business.

But don’t just take our word for it!

Recently, we invited our entire workforce to describe, in three words, what is great about us, and they said – our people, flexibility and collaboration.

If you would like to join a company that is inclusive and forward-thinking, please read on.

Role Purpose

LPPI is an in-house investment business authorised and regulated by the Financial Conduct Authority.

LPPI operates in the pension fund sector, managing the assets of several public sector pension schemes.

LPPI has a portfolio of applications and data solutions that are hosted on Microsoft Azure and Power Platform services, such as Azure SQL Database, Synapse Workspace Analytics, Python notebooks, Power BI Reports, Power Apps, Power Automate flows, Kubernetes, REST APIs and App Services.

LPPI requires an experienced Senior AI Engineer who can deliver and support a pipeline of technical solutions approved by the Business Change Office, where each solution is aligned with established business needs and objectives.

Responsibilities include delivery of end-to-end Business IT changes, from translating Business Analysis to technical requirements, architecture, development, testing, deployment and supporting production services.

Key Responsibilities

• Provide technical analysis of new Change Briefs received by the Business Change Office to understand the nature of the change, its impact on current processes, data and the operating model, and assess it against the future-state TOM and LPPI's design principles.
• For approved changes, elicit requirements from SMEs and business stakeholders to produce clear and accurate technical documents (HLD & LLD), incorporating both functional and non-functional requirements.
• Deliver high-quality application and reporting solutions, ensuring application and data quality, security, and compliance with LPPI's standard policies.
• Deliver robust, scalable and high-performance technical solutions using modern technologies.
• Co-ordinate and communicate with internal stakeholders, including business analysts, project managers, external suppliers and end users, throughout the development lifecycle to ensure project objectives, scope, schedule, budget and quality are met.
• Conduct quality assurance to ensure developed solutions meet functional and non-functional requirements, whilst adhering to best practices, coding standards and quality guidelines.
• Prepare and maintain IT project documentation, code versioning, deployment and test artefacts.
• Manage risks, issues and changes that arise during the project lifecycle, escalating them to the appropriate level where necessary.
• Monitor and manage existing production services to ensure high availability and resilience, taking proactive measures to improve overall service performance and provide production fixes.
• Follow ITIL principles to manage incidents, problems and change requests.
• Work closely with the Head of Business IT and the Business Change Office function to ensure the successful deployment and transition of IT solutions into the production environment.
• Provide expert guidance to IT peers across application and reporting technologies.
• Present information regularly to the Head of Business IT, the Chief Information & Technology Officer and other internal department heads, demonstrating effective written and verbal communication skills.

Requirements for the Role

• Familiarity with Investment Management and/or Financial Services, and experience working with business stakeholders in a cross-functional matrix environment.
• Understanding of modern application, data and reporting solutions using Azure Cloud services and market products, including, but not limited to, the development of App Services with responsive UX, Web APIs, Service Bus, Agentic AI integration, Power BI reports (dashboards, paginated reports and DAX queries), and Power Platform solutions.
• Experience developing application solutions using Entity Driven Development (EDD), Test Driven Development (TDD) with mock objects, N-tier application architecture and REST APIs with data caching.
• Experience integrating Agentic AI and its APIs within Application Services.
• Experience using Azure Dev Ops to manage work items, code versioning, CI/CD pipelines and deployment artefacts.
• Experience creating Business Process Modelling Notation (BPMN) flows using modelling tools such as Microsoft Visio.
• Excellent written, verbal and presentation communication skills, with strong interpersonal skills.
• Ability to understand and apply new technologies to remain current with best practices and trends in application and reporting architecture for financial services.
• Good analytical skills, with the ability to present arguments to support and/or challenge proposals.
• Ability to work independently and within a team-oriented, collaborative environment.
• Adept at conducting research into project-related issues and products.
• A proactive, self-motivated approach, with the ability to manage multiple workloads and deadlines whilst continually striving to improve quality, efficiency and presentation.
• Demonstrable ability to work across multiple complex technical initiatives and projects whilst consistently operating to a high standard.
• Technical understanding of the complexities of delivering change within an Investment Management organisation, specifically where the application ecosystem is decentralised.
• Strong understanding of Azure Cloud Services, including Pro-Code and Low-Code application development, Agentic AI integration, REST APIs, API Management, application database design (relational, non-relational and vector databases) and reporting services.

Reasonable adjustment will be made to working arrangements to accommodate a person with a disability who otherwise would be prevented from undertaking the work.

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