Description

1. 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.

Responsibilities

1. 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.

Qualifications

1. 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 contemporary 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.

- 1. 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

📌 Associate Director _ UK Engineering (Bengaluru)
🏢 BSR u0026
📍 Bengaluru