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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading software development initiatives, particularly in AI applications, while effectively managing cross-functional teams and implementing CI/CD practices. Proficient in utilizing programming languages such as Python and frameworks for AI solutions to enhance business performance.

Highest-signal resume keywords

Software Development LeadershipAI Application DeliveryCI/CD ImplementationPython ProgrammingCross-Functional Team Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonReact NativeAI Application DevelopmentArchitectural DesignMachine LearningContinuous IntegrationContinuous DeliveryObservabilityData EngineeringSoftware Engineering

Soft Skills

Strategic ThinkingEffective CommunicationCoachingProblem SolvingTeam Leadership

Tools & Technologies

GitHub ActionsMLflowVector DatabasesAgent-Based FrameworksLangChainLangGraphRAG

Industry Keywords

Digital TransformationSystems ThinkingBusiness AnalyticsHuman Computer InteractionInformation SystemsTechnical StandardsStakeholder Engagement

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