AI Engineer

As an AI Engineer in our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy scalable AI and Machine Learning-based solutions. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. As an Associate, you will focus on learning and contributing to projects while developing your skills to deliver quality work, engage with stakeholders, and grow your technical expertise.

Responsibilities

• Designing and implementing AI systems to transform raw data into actionable insights
• Developing scalable machine learning models using Python and TensorFlow
• Integrating data from various sources to create unified views for analysis
• Building and maintaining data pipelines to support AI model deployment
• Applying complex data analysis techniques to discern patterns and trends
• Collaborating with team members to enhance AI solutions and drive business growth
• Utilizing natural language processing tools like NLTK for text analytics and sentiment analysis
• Implementing neural networks and deep learning methods for advanced AI applications
• Managing data quality and infrastructure to support reliable AI operations
• Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering

Requirements

• At least a Bachelor's degree or, in lieu of a degree, demonstrating three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college
• At least 1 year of experience in AI and Machine Learning
• Degree in one of the following fields: Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, or Information Technology

Skills

• Certifications in data engineering, machine learning, or cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related)
• Building and orchestrating AI agent workflows using frameworks such as LangGraph
• Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning
• Developing automated evaluation frameworks, including LLM-as-judge pipelines and regression testing
• Optimizing open-weight language models (e.g., LLaMA, Mistral, Gemma) for deployment
• Designing agent harnesses with context engineering, memory management, and structured output validation
• Proficiency in Python and TensorFlow for AI projects
• Utilizing machine learning libraries like Scikit-Learn for data analysis
• Implementing AI solutions using open-source software
• Applying natural language processing techniques in real-world applications

Pay

The salary range for this position is $50,500 - $112,500. Actual compensation within the range will be dependent upon skills, experience, qualifications, and location. All hired individuals are eligible for an annual discretionary bonus.

Benefits

• Medical, dental, and vision coverage
• 401k retirement plan
• Holiday pay
• Vacation and personal/family sick leave

To view benefits at a glance, visit https://pwc.to/benefits-at-a-glance.