Intelligent Applications Developer
AI in this role
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
How we score this
Intelligent Applications Developer at PwC scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used LangChain hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Safety, OpenAI, Copilot, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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