Associate Director _ UK Engineering

KPMG Global Services
Apply Now ↗
📍 Bangalore, Karnataka, IndiaFull time

About this role

  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.

  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.

  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 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.

  •  

  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

Frequently Asked Questions

Is the salary disclosed for the Associate Director _ UK Engineering position at KPMG Global Services?
The salary for this Associate Director _ UK Engineering role at KPMG Global Services is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Associate Director _ UK Engineering position at KPMG Global Services located?
This Associate Director _ UK Engineering role at KPMG Global Services is based in Bangalore, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Associate Director _ UK Engineering role at KPMG Global Services full-time or part-time?
This is listed as a Full time position. It is posted as a Associate Director _ UK Engineering role at KPMG Global Services.
How do I apply for the Associate Director _ UK Engineering position at KPMG Global Services?
Click the "Apply Now" button on this page. You will be redirected to KPMG Global Services's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Associate Director _ UK Engineering job at KPMG Global Services posted?
This Associate Director _ UK Engineering position at KPMG Global Services was posted on Jun 29, 2026. Apply as soon as possible — early applications are often reviewed first.
Associate Director _ UK Engineering
KPMG Global Services
Apply for this role ↗

You'll be redirected to KPMG Global Services's official application page on oraclecloud.