About this role
Summary: Leads Azure AI application development workstreams, managing client delivery priorities, timelines, and budgets while coaching team members. Guides teams in designing, building, and testing cloud-based applications.
Industry/Sector
Specialism
Platform Engineering & Architecture
Management Level
Manager
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As an Azure AI Engineer you will design, build, test, and scale AI-enabled applications across the software development lifecycle, using Microsoft Azure, modern development practices, and secure cloud services to support digital transformation and improved business performance within our Advisory practice. As a Manager you will lead teams and manage workstreams, coach and develop team members, and apply sound judgment to complex delivery challenges while maintaining clear timelines, quality, and client alignment. In this role at PwC, you will contribute to software and product innovation by shaping technical solutions, guiding implementation choices, and bringing together application design, coding, testing, deployment, and release activities for AI-native and cloud-based solutions.
Responsibilities
- Leading Azure AI application development workstreams across requirements, architecture, coding, testing, deployment, and release
- Managing client delivery priorities, timelines, budgets, and scope across software engineering engagements
- Guiding teams in designing, building, and modernizing cloud-based applications on Microsoft Azure
- Applying AI-native development practices, including GitHub Copilot and agentic engineering approaches, to accelerate delivery
- Directing API integration, microservices, and enterprise application architecture activities for scalable solutions
- Reviewing code, testing results, and release readiness to validate functionality, performance, and security
- Coaching team members on software design, development standards, troubleshooting, and quality engineering methods
- Translating business requirements into technical solutions that align with client goals and digital transformation needs
- Identifying delivery risks, resolving issues, and escalating blockers across multiple workstreams
- Promoting use of modern programming languages, automation, and cloud tooling to improve engineering delivery
- Leading the design, coding, and testing of innovative software applications to drive digital transformation
- Managing software development projects, confirming successful planning, budgeting, and execution
- Guiding teams in the application of Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD) methodologies
- Utilizing programming languages such as Java, Python, and C# to develop and maintain software solutions
- Overseeing the integration of enterprise applications and microservices to enhance business performance
- Conducting code reviews and implementing coding standards to maintain quality software development
- Collaborating with stakeholders to analyze business requirements and translate them into functional software designs
- Mentoring team members to develop their skills and encourage innovation in software engineering
- Promoting the use of modern software development frameworks and tools, including React Native and Spring Boot
- Addressing technical challenges and troubleshooting issues to optimize software functionality and user experience
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
- Demonstrating experience leading Azure application development and testing workstreams
- Applying AI-native development practices across software design, coding, and deployment
- Managing client-facing delivery, timelines, and team coaching across projects
- Utilizing GitHub Copilot, CI/CD, and modern testing methods
- Translating complex technical concepts into practical delivery outcomes
Travel Requirements
Not Specified
Job Posting End Date