Generative AI Full stack Engineer

PwC; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 3,500,000 - 5,200,000; Full time

Job summary

PwC seeks a Gen AI-Full Stack Engineer-Manager to lead frontend architecture and governance, establishing standards for component libraries and UI frameworks across teams. You will define AI experience design standards with a focus on conversational UX, transparency, and human-in-the-loop workflows for GenAI applications.

You will architect secure backend systems and APIs (Node.js, Java Spring Boot, Python), implement secure coding practices, and align delivery with product roadmaps while

Qualifications

• Bachelor's and Master's degree in a related field.
• 8+ years of experience in GenAI/full-stack roles.
• Fluent English communication (verbal and written).

Responsibilities

• Lead frontend architecture design and governance across React/Angular/Vue.
• Define AI UX standards emphasizing transparency and human-in-the-loop workflows.
• Architect secure backend systems and APIs with OAuth2/JWT/RBAC.
• Collaborate with product management on roadmaps, feasibility assessments, and cloud strategies.
• Foster a diverse engineering team and cross-functional learning initiatives.
• Govern UX implementation, accessibility, and responsive design across platforms.

Skills

React

Angular

TypeScript

Front-end Architecture

UI Frameworks

AI UX Standards

Leadership

CI/CD

Cloud Deployment

Security

Education

Bachelor's & Master's Degree

Tools

GitHub Actions

Azure DevOps

Jenkins

Job description

Gen AI-Full Stack Engineer-Manager

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.