Intelligent Applications Developer

Job Description & Summary The opportunity Create secure, intuitive applications and interfaces through which users supervise, interact with and derive value from agentic systems. What you will be doing · Build web, mobile, conversational or embedded experiences for AI-enabled workflows. · Develop front-end components, backend-for-frontend services and APIs. · Design interfaces for approvals, evidence, exceptions, feedback and human intervention. · Integrate identity, role-based access, telemetry and enterprise design standards. · Collaborate with users, product owners and engineers through prototypes and iterative releases. · Implement automated tests, accessibility requirements and deployment packaging. What we need from you · 3+ years in full-stack, front-end or application development. · Strong capability in modern web frameworks, APIs, identity and application security. · Experience integrating AI services, conversational interfaces or workflow solutions is desirable. · User-centered design mindset and comfort working in agile multidisciplinary teams. Relevant AI technologies and tooling · Strong TypeScript or JavaScript capability with a modern web framework such as React, Next.js or Angular, plus backend development using Node.js, Python with FastAPI, .NET or equivalent. · Experience integrating streaming LLM or agent APIs, structured responses, tool-status events, citations, feedback capture and resumable or long-running workflow states into user experiences. · Familiarity with an agent SDK or orchestration framework such as LangChain and LangGraph, Microsoft Agent Framework or Semantic Kernel, OpenAI Agents SDK, or equivalent. · Experience building conversational or embedded enterprise experiences with Microsoft Copilot Studio, Teams or web applications is desirable. · Strong knowledge of OAuth 2.0 or OpenID Connect, role-based access, secure API integration, telemetry, accessibility and automated front-end or API testing. Measures of success · User adoption and task completion · Application quality, accessibility and performance · Integration reliability · Speed of iterative release · User feedback and reduction of workflow friction Key interfaces · Other members of the AI Transformation & Agentic Systems Practice · PwC sector, functional, cloud, cyber, risk, Responsible AI and change specialists · Client business owners, product owners, technology teams and operational users · Technology alliance and implementation partners where relevant Contribution to the practice · Support proposals, client workshops and market development appropriate to seniority. · Contribute reusable methods, patterns, code, assets and lessons learned. · Coach colleagues and participate in the capability’s continuous learning agenda. · Uphold PwC quality, independence, confidentiality and risk-management requirements. #LI-BS1 #LI-Hybrid