Agentic AI Developer – Intelligent Automation

About the role

PwC is seeking an experienced Agentic AI Developer to design, build, and deploy intelligent autonomous agent systems. The role focuses on creating multi‑agent workflows, integrating large language models with real‑world tools and data sources, and developing orchestration and reasoning layers that enable self‑directed AI pipelines.

Key responsibilities

• Design and develop autonomous and semi‑autonomous AI agents capable of multi‑step reasoning, planning, and decision‑making.
• Build multi‑agent systems with defined roles, inter‑agent communication, and collaborative task execution.
• Implement agent orchestration frameworks such as LangGraph, AutoGen, CrewAI, or custom solutions for workflow coordination.
• Define and manage agent memory layers, including short‑term context windows, long‑term vector stores, and episodic memory.
• Integrate large language models (LLMs) with external tools, APIs, and data sources to create end‑to‑end intelligent automation solutions.
• Collaborate with data and analytics engineering teams to ensure robust, scalable, and secure AI solutions.

Required profile

• Proven experience in AI/ML engineering, particularly with autonomous or agent‑based systems.
• Strong background in backend development and system design.
• Ability to translate business requirements into technical architectures for intelligent automation.

Required skills

• Python programming.
• Experience with LangGraph, AutoGen, CrewAI, or similar orchestration frameworks.
• Knowledge of vector stores and memory management for AI agents.
• Familiarity with large language model integration and API development.

What we offer

• Inclusive benefits, flexible work programmes, and mentorship opportunities.
• A collaborative environment focused on innovation and real‑world impact.
• Support for personal growth and well‑being within a global professional services firm.