PwC

AI Engineer - Senior Manager

India · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerPwC
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted25 Sep 2026

Industry/Sector

Not Applicable

Specialism

Software Engineering

Management Level

Senior 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 AI Engineer - Senior Manager, you will lead the development of innovative software solutions within our Advisory practice, driving digital transformation and enhancing business performance for our clients. You will leverage your skills and strategic vision to deliver impactful results, combining technical experience with creative thinking to revolutionize industries and deliver exceptional user experiences.

Show full description

As a Senior Manager, you will act as a strategic advisor, utilizing your professional network and skills to deliver quality outcomes. You will motivate and coach teams to solve complex problems, applying sound judgment to navigate challenges and make informed decisions. Your role involves crafting clear, impactful messages and directing teams through ambiguity, contributing to the success of PwC Acceleration Center India.

In this role at PwC Acceleration Center India, you will focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Your ability to develop and sustain high-performing, diverse, and inclusive teams will be crucial in maintaining operational excellence and driving project success.

Responsibilities

- Leading the development and implementation of innovative software solutions to drive digital transformation
- Designing, coding, and testing applications that enhance business performance and deliver exceptional user experiences
- Applying systems thinking to identify underlying problems and opportunities within software engineering projects
- Directing teams through complex and ambiguous situations, maintaining composure and focus
- Validating outcomes with clients and incorporating feedback to refine software solutions
- Initiating coaching conversations to foster team development and effectiveness
- Developing enterprise application architecture and solution architecture to support client needs
- Utilizing programming languages, including Python and React Native, to build scalable applications
- Implementing Continuous Integration/Continuous Delivery (CI/CD) practices to streamline software development processes
- Promoting business process improvement and teamwork within software engineering teams
- Modeling professional and technical standards, adhering to the firm's code of conduct and independence requirements

What You Must Have

- At least a Bachelor's degree
- At least 14 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
- Proven leadership in architectural design and implementation

- Strategic thinking with a technical background (Python, LLM, LangGraph, LangFlow, LangChain)

- Managing cross-functional teams effectively

- Delivering AI applications using RAG, vector databases, and agent-based frameworks

- Promoting observability and optimization of AI applications

- Implementing CI/CD pipelines and observability for AI systems using tools such as GitHub Actions and MLflow

- Collaborating with engineering and data science teams

- Familiarity with AI coding tools and frameworks

Travel Requirements

Job Posting End Date

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