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What skills does PwC Acceleration Center India want for this GenAI Full Stack-Manager role?

The job description asks for React, Angular, Vue.js, Node.js, Java Spring Boot, Python, OAuth 2.0 and JWT. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

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Is this GenAI Full Stack-Manager job remote or onsite?

This is based in Bengaluru East, Karnataka.

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GenAI Full Stack-Manager

PwC Acceleration Center India

Bengaluru East, Karnataka, India

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 a GenAI Full Stack Manager you will lead client support work in data science and data and analytics engineering, helping design and develop GenAI-enabled full stack solutions that turn data into usable insights and support business decisions. As a Manager you will guide teams, coach team members, and manage work streams with accountability, using your knowledge of technology and business needs to shape delivery, handle priorities, and support quality outcomes. In this role at PwC, you will oversee planning and execution across data, analytics, and AI activities within our Data and Analytics Engineering practice, while working through complex client needs, supporting delivery coordination, and driving practical use of advanced analytics and statistical methods.

Responsibilities

Lead the design and governance of frontend architecture, establishing standards for component libraries, design systems, and UI frameworks (React, Angular, Vue.js) to ensure consistent, accessible user interfaces across teams.
Define and enforce AI experience design standards focusing on conversational UX, transparency, explainability, and human-in-the-loop workflows for intuitive and trustworthy GenAI applications.
Architect and govern scalable, secure backend systems and APIs (Node.js, Java Spring Boot, Python), including secure coding practices (OAuth 2.0, JWT, RBAC), data privacy compliance (GDPR, DPDP Act), and database architecture across SQL and NoSQL systems.
Partner with product management to align technical delivery with product roadmaps, provide feasibility and risk assessments, and contribute to cloud deployment strategies including cost optimization and scaling of full-stack infrastructure.
Lead and develop a diverse engineering team fostering collaboration, continuous improvement, and cross-functional skill development through knowledge sharing and internal learning initiatives.
Maintain expertise in modern development tools, AI-augmented toolchains, and ensure governance of UX implementation standards including accessibility (WCAG) and responsive design principles across all frontend development.

What You Must Have

Bachelor's & Master's Degree
8 years of experience
Oral and written proficiency in English required

What Sets You Apart

Deep expertise in modern front-end technologies including React, Angular, TypeScript, component libraries, responsive design, and front-end testing frameworks like Jest, Cypress, and Playwright.
Strong knowledge of front-end performance optimization techniques such as lazy loading, code splitting, tree shaking, caching strategies, and bundle size reduction to deliver fast, responsive GenAI interfaces.
Experience with front-end state management libraries (Redux, NgRx) for handling complex, data-intensive application states in GenAI applications.
Proven capability in designing seamless integration between front-end and back-end systems via REST/JSON APIs, GraphQL, and real-time protocols like WebSockets and Server
Sent Events, including implementation of end-to-end streaming UIs for LLM-powered applications.
Skilled in driving technical alignment across front-end and back-end teams, ensuring consistency in design patterns, shared components, API contracts, and integration testing strategies.
Expertise in defining and managing CI/CD pipeline standards for front-end projects using tools like GitHub Actions, Azure DevOps, or Jenkins, and experience deploying solutions on major cloud platforms (AWS, Azure, GCP), supported by relevant AI or solution architecture certifications.

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