Senior AI Agent Engineer

Job Description & Summary

PwC  is a global network of more than  370,000 professionals in 149 countries  that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are looking for a Senior AI Agent Engineer to join our CEE IFS AI Factory and build production-grade AI solutions that solve real business problems and run reliably at enterprise scale.

AI agents are the main focus of the role, but you will also build other AI-powered applications and services where they are the better fit for the problem. This is a hands-on engineering role. You will take solutions from idea and prototypes through production, working with developers, security teams, and business stakeholders.

Our solutions are built on Microsoft Azure. Beyond that, the role is not tied to a specific framework. We are looking for someone with strong engineering fundamentals who can choose the right approach for the problem.

What You’ll Do:

- Design, build, deploy, and support AI agents and other AI-powered applications and services.
- Build agent orchestration, tool calling, and the APIs, services, and integrations with enterprise systems that these solutions depend on.
- Implement RAG, including retrieval, embeddings, chunking, and vector search.
- Manage agent's state, memory, context, and human-in-the-loop interactions where required.
- Build automated tests and evaluations for prompts, tools, integrations, and end-to-end behavior.
- Implement guardrails such as input/output validation, prompt-injection protection, and safe fallback behavior.
- Build secure, reliable, and cost-efficient solutions, with observability and tracing to identify and resolve failures.
- Work closely with the solution architect on design and with the DevOps engineer on deployment and environments.
- Create reusable components, patterns, and documentation for use across the CEE IFS AI Factory.
- Depending on experience, lead the implementation of complex solutions, review code, and mentor other developers.

What We Are Looking For

- 4+ years of software engineering experience, building production grade applications and services.
- Strong hands-on development skills in Python.
- Hands-on experience building REST APIs and integrations (e.g., FastAPI or similar).
- Good understanding of Microsoft Azure and its core services.
- Minimum 2 years of hands-on experience developing LLM-based and agentic solutions, including at least one delivered to production and in active use.
- Hands-on experience with agent orchestration, tool/function calling, and managing state and memory.
- Hands-on experience implementing RAG, including embeddings, retrieval, and vector search.
- Experience testing and evaluating LLM-based applications, monitoring and troubleshooting them in production.
- Clear communication with technical and business stakeholders, in fluent spoken and written English.

What Is Nice to Have:

- Experience developing backend | frontend applications
- Hands-on experience with Azure AI Foundry, Azure OpenAI, or Azure AI Search.
- Experience with agent frameworks such as Microsoft Agent Framework, LangGraph, or CrewAI.
- Practical experience with Model Context Protocol (MCP).
- Experience with Microsoft Graph, Copilot Studio, or other Microsoft 365 integrations.
- Experience with containers, serverless, or event-driven architectures.
- Experience building multi-agent systems.
- Experience with voice, real-time, or multimodal AI.

Policy statements:
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