Role overview
- Design and implement agentic AI architectures using cloud technologies like AWS or GCP, open-source and third-party platforms (e.g., LangChain, Hugging Face, Rasa, etc.)
- Develop and integrate autonomous agents for task execution, decision-making, and multi-step workflows
- Build and optimize conversational AI systems including chatbots, voice assistants, and virtual agents
- Collaborate with cross-functional teams to identify automation opportunities and deliver scalable AI solutions
- Ensure ethical AI practices, data privacy, and responsible deployment of agentic systems
- Continuously evaluate emerging technologies and frameworks to enhance solution capabilities
As a AI Engineer in PwC, you will be expected to also:
- Demonstrate thought leadership in agentic AI and contribute to internal knowledge sharing
- Stay current with advancements in LLMs, multi-agent systems, and AI orchestration tools
- Participate in client workshops and technical discussions to shape solution strategy
- Contribute to reusable components, accelerators, and best practices for agentic AI
- Support proposal development with technical insights and solutioning
What you'll work on
If you're passionate about building intelligent systems that transform how businesses operate , we’d love to hear from you .
What we're looking for
Accepting Feedback, Accepting Feedback, Active Listening, Agent Orchestration, AI-Powered Contact Center Solutions, Analytical Thinking, AWS Bedrock, Azure AI Services, Communication, Context Engineering, Conversational Programming, Creativity, Data Science, Embracing Change, Emotional Regulation, Empathy, Generative AI, Google Vertex AI, Inclusion, Intellectual Curiosity, LangChain, LangGraph, Learning Agility, LLM APIs, LLM Evaluation {+ 12 more}
Desired Languages (If blank, desired languages not specified)
*Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date