AI Engineer

AI Engineer (Associate)

Specialism: IFS - Information Technology (IT)

Job Description & Summary

As an AI Engineer, you will transform raw data into actionable insights to support informed decision-making and drive business growth. Within our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that deliver Artificial Intelligence and Machine Learning-based solutions at scale.

In this role, 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 and contributing to projects while developing skills to deliver quality work. You will engage with stakeholders to build relationships, learn how to manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

In increasingly complex situations, you will build acumen to anticipate the needs of your teams and internal stakeholders, embrace ambiguity, ask questions, and use challenges as opportunities for growth. You will take ownership and consistently deliver quality work that drives value for clients and success as a team.

Responsibilities

• Design and implement AI systems to transform raw data into actionable insights
• Develop scalable machine learning models using Python and TensorFlow
• Integrate data from various sources to create unified views for analysis
• Build and maintain data pipelines to support AI model deployment
• Apply complex data analysis techniques to discern patterns and trends
• Collaborate with team members to enhance AI solutions and drive business growth
• Utilize natural language processing tools such as NLTK for text analytics and sentiment analysis
• Implement neural networks and deep learning methods for advanced AI applications
• Manage data quality and infrastructure to support reliable AI operations
• Engage in continuous learning to adapt to new technologies and methodologies in AI engineering
• Build and orchestrate AI agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions
• Apply generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models
• Develop automated evaluation frameworks, including LLM-as-judge pipelines, regression testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output groundedness
• Optimize open-weight language models (e.g., LLaMA, Mistral, Gemma) for local and cloud deployment using quantization, inference acceleration, and model-routing techniques
• Design agent harnesses and implement context engineering, memory management, retry logic, and structured output validation to support reliable, multi-step AI workflows
• Demonstrate proficiency in Python and TensorFlow for AI projects
• Utilize machine learning libraries such as Scikit-Learn for data analysis
• Engage in complex data analysis and pattern recognition
• Implement AI solutions using open-source software
• Apply natural language processing techniques in real-world applications

What You Must Have

• At least a Bachelor’s degree; or, in lieu of a degree, 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

What Sets You Apart

• Study in at least one of the following fields: 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

Travel Requirements

Up to 20%

Compensation & Benefits

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

PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more.

Equal Opportunity

PwC is an equal opportunity employer. All qualified applicants will receive consideration for employment 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.