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AI Engineer Senior Manager

  • Source: Naukri
  • PwC
  • Hybrid
  • Bengaluru
  • Full-Time
  • Senior

Job Description

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. Youll 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, focusing on driving digital transformation and enhancing business performance. As a Senior Manager, you will leverage your skills and network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams.

In this role at PwC Acceleration Center India, you will design, code, and test applications that revolutionize industries and deliver exceptional user experiences. You will craft and convey clear, impactful messages, apply systems thinking to identify underlying problems, and validate outcomes with clients. Your ability to navigate complexity and demonstrate composure in challenging situations will contribute to the success of our firm.

Responsibilities

  • Leading the development and implementation of innovative software solutions to drive digital transformation
  • Designing, coding, and testing applications that enhance business performance and user experience
  • Applying systems thinking to identify underlying problems and opportunities within software engineering projects
  • Directing teams through complex and ambiguous situations, maintaining composure and focus
  • Crafting and conveying clear, impactful messages that tell a holistic story to stakeholders
  • Validating outcomes with clients, sharing alternative perspectives, and acting on feedback
  • Developing and evolving skills to stay relevant in the rapidly changing technology landscape
  • Initiating open and honest coaching conversations to foster team growth and effectiveness
  • Making informed decisions to resolve issues that hinder team performance
  • Modeling and reinforcing professional and technical standards in line with the firm’s code of conduct
  • Utilizing programming languages such as Python and React Native to create scalable solutions
  • Implementing Continuous Integration/Continuous Delivery (CI/CD) practices to streamline software development processes
  • Collaborating with enterprise application architecture teams to design robust software solutions

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

Skills

  • Python
  • React
  • React-Native
  • streamline
  • LangGraph
  • LangChain
  • Github
  • github-actions
  • ml-flow
  • mlflow

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