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.

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