AI Engineer – Senior Associate (Commercial Technology & Innovation)

About the role

As an AI Engineer – Senior Associate within PwC's Commercial Technology & Innovation practice, you will design and develop data‑driven AI solutions that turn raw information into actionable insights for clients. You will work closely with advisory teams to deliver scalable machine‑learning platforms that support business growth.

Key responsibilities

• Design and implement AI systems that transform raw data into actionable insights.
• Develop scalable machine‑learning models using Python and TensorFlow.
• Integrate data from multiple sources to improve data quality and infrastructure.
• Conduct complex data analysis to support informed decision‑making.
• Build and deploy AI and machine‑learning solutions at scale.
• Collaborate with clients to understand requirements and deliver tailored AI solutions.
• Utilize C++ and Java for software development tasks.
• Apply natural language processing techniques for text analytics and sentiment analysis.
• Manage data pipelines and ensure data integrity within analytics frameworks.
• Mentor junior team members on AI and data‑engineering activities.

Required profile

• At least a Bachelor’s degree.
• Minimum of 3 years of relevant experience.
• Preferred academic background in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering.
• Relevant certifications in data engineering, machine learning, or cloud platforms (e.g., AWS, Google Cloud, Azure, Databricks, Snowflake) are a plus.

Required skills

• Python programming.
• TensorFlow library.
• C++ programming.
• Java programming.
• Natural language processing (NLP) techniques.
• Machine‑learning model development and deployment.
• Data pipeline construction and management.