• The Role You will be a senior leader, pivotal in driving innovation, accelerating the adoption of cutting-edge technologies, and enhancing our engineering practices. You will specialize in creating robust, scalable, cloud-first architectures leveraging .Net on Azure, with a strong focus on AI-driven solutions for document management, data extraction, tax research, and knowledge management. Collaborating with Principal Product Owners, Principal Engineers, and cross-functional agile scrum teams, you will accelerate the delivery of AI-enabled cloud-first tools for the Tax & Legal business at KPMG. • In this role you will … • Drive AI Adoption: • Create AI-driven tools to processing and extract data from client documentation. • Automate workflows using AI agents. • Classify and process data with AI-assisted transformation. • Utilise AI for data preparation in data engineering. • Implement deep research toolsets for tax knowledge and advisory services. • Deliver Cloud Solutions: • Leverage Azure AI tools. • Build container or function-based applications. • Develop secure microservice-based architectures integrate via messaging frameworks like Service Bus. • Use Entity Framework with Azure SQL or NoSQL databases (Cosmos DB). • Embed Excellence: • Integrate delivery, security, and automated testing within DevOps processes. • Continuously enhance technical knowledge and share insights. • Leadership and Communication: • Oversee solution designs through information security, architecture, and data privacy reviews. • Promote continuous improvement in Lean Agile and Scaled SCRUM methodologies. • Foster a team-driven quality mindset. • Strategic Influence: • Provide insightful feedback to peers and junior team members. • Influence strategic technical and non-technical decisions. • Collaborate with directors, partners, and engagement teams to advance strategic opportunities. • You will have … • Deep Technical Expertise: Extensive experience in architecting, designing, specifying, and developing software. • Proven Track Record: Personally built POCs, mentored software engineers, and successfully delivered complex software projects. • Cloud Experience: Hands-on experience in building cloud-first solutions. • AI Knowledge: Ability to articulate clearly how generative AI can solve document management, workflow automation, and knowledge management challenges. • Collaborative Approach: Worked closely with enterprise architecture, information assurance, information security, and data privacy teams. • Programming Skills: Proficiency with modern object-oriented languages such as C# or Java. • Enterprise Expertise: Strong understanding of web services, enterprise messaging, and orchestration. • Data Modelling: Designed complex data models. • Continuous Delivery: Promoted and utilized continuous delivery tooling. • Security Practices: Understanding of secure coding and infrastructure best practices. • Communication: Outstanding skills, effectively collaborating with technical and non-technical stakeholders. • Quality Focus: Enthusiasm for delivering high-quality products and excellent user experiences. • • You may have … • AI Systems: Built systems leveraging generative AI and machine learning. • Document Systems: Designed document management and workflow systems. • Process Automation: Deep understanding of process automation. • Cloud Applications: Experience with cloud platforms such as Azure, AWS, or GCP. • Containers & Serverless: Worked with Docker, Kubernetes, Function apps, or other serverless platforms. • CI/CD Tools: Experience with Git, Jenkins, GitHub, or Azure DevOps. • Front-End Frameworks: Developed with React, Angular, Blazor, or ASP.NET MVC. • ORM Tools: Used Entity Framework, Hibernate, or similar ORM tools. • NoSQL Databases: Experience with Cosmos DB, MongoDB, MarkLogic, or Cassandra. • Messaging Systems: Familiarity with messaging platforms like Service Bus, MQ, or Kafka. • Data Analytics: Experience in data analytics and business intelligence. • User Experience: Delivered accessible, user-friendly experiences. • Infrastructure as Code: Used infrastructure-as-code tools such as ARM, Bicep, or Terraform