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PwC

Senior AI Engineer – Manager

PwC

AI Engineer - Senior Manager at PwC driving digital transformation and enhancing business performance through software solutions. Leading cross-functional teams and delivering quality results.

Posted 7/7/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
PythonReactReact Native

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 14 years of experience
  • Oral and written proficiency in English required
  • 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

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

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Hard Skills & Tools
PythonReact NativeAI Application DevelopmentArchitectural DesignMachine LearningContinuous IntegrationContinuous DeliveryObservabilityData EngineeringSoftware Engineering
Soft Skills
Strategic ThinkingEffective CommunicationCoachingProblem SolvingTeam Leadership