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About the Role

As an AI Engineer within Internal Firm Services, you will transform raw data into actionable insights using data, algorithms, and software engineering to build and deploy AI and Machine Learning-based solutions at scale. You will design AI systems, perform data wrangling, and implement software to make AI models useful and scalable. As an Associate, you will focus on learning, contributing to projects, developing skills, and delivering quality work while engaging with stakeholders and growing your personal brand.

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 in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college is required
• At least 1 years of experience

Skills

• Computer and Information Science
• Computer Engineering
• Computer Management
• Management Information Systems
• Information Technology
• Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• 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, regression testing, and adversarial benchmarking
• Optimizing open-weight language models, including LLaMA, Mistral, and Gemma
• Designing agent harnesses and implementing context engineering, memory management, retry logic, and structured output validation
• Proficiency in Python and TensorFlow for AI projects
• Utilizing machine learning libraries like Scikit-Learn for data analysis
• Engaging in complex data analysis and pattern recognition
• Implementing AI solutions using open-source software
• Applying natural language processing techniques in real-world applications

Work Type

• Up to 20% travel

Experience Level

• Associate
• At least 1 years of experience

Education Level

• Bachelor's degree

Salary/Compensations

• $50,500 - $112,500

Benefits

• Annual discretionary bonus
• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave

About the Company

• PwC is an equal opportunity employer.
• PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
• Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

• All qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
• For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.
• At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.