onsite
Associate GenAI and Agentic AI Engineer - PwC
AI Engineer
Associate GenAI and Agentic AI Engineer designing and building AI‑driven automation solutions, leveraging Python, machine learning, and process mining to transform data into actionable insights and scalable robotic process automation workflows.
About the role
Key Responsibilities
- Design, develop, and deploy GenAI and agentic AI models using Python and machine learning frameworks to automate complex business processes.
- Conduct process mining analyses to identify automation opportunities and optimize end‑to‑end workflows.
- Build and maintain robust data pipelines and engineering solutions that support AI model training and inference.
- Implement robotic process automation (RPA) solutions, integrating them with existing enterprise systems.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and deliver scalable automation products.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
- Proficiency in Python and experience with machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience with process mining tools (e.g., Celonis, Disco) and RPA platforms (e.g., UiPath, Automation Anywhere).
- Strong data engineering skills, including ETL, data warehousing, and SQL.
- Excellent problem‑solving abilities, strong communication skills, and a collaborative mindset.
Skills
pythonmachine learning