AI Engineer

PwC offers a comprehensive benefits package and a collaborative, data driven culture. This onsite AI Engineer role is based in New York, NY, with a salary range of USD 50,500 to 112,500 per year.

Benefits

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

Responsibilities

• Design and deploy AI systems that turn raw data into actionable insights
• Build scalable machine learning models using Python and TensorFlow
• Consolidate data from multiple sources to create unified views for analysis
• Create and maintain data pipelines to support AI model deployment
• Apply advanced data analysis to identify patterns and trends
• Collaborate with teammates to improve AI solutions and drive business growth
• Use natural language processing tools like NLTK for text analytics and sentiment analysis
• Implement neural networks and deep learning methods for sophisticated AI applications
• Ensure data quality and robust infrastructure to support reliable AI operations
• Engage in continuous learning to stay current with AI engineering technologies and methodologies
• Develop and orchestrate AI agent workflows with 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 for production-ready applications powered by foundation models
• Develop automated evaluation frameworks such as LLM-as-judge pipelines, regression testing, and adversarial benchmarking to assess reasoning, tool-calling reliability, and grounded outputs
• Optimize open-weight language models like LLaMA, Mistral, and Gemma for local and cloud deployment using quantization, faster inference, and model routing
• 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

Requirements

• Bachelor's degree is required. If no degree, in lieu of the degree, for each missing year of college, three years of specialized training and/or progressively responsible work experience in AI and Machine Learning engineering are required, in addition to the minimum years of experience
• Minimum 1 year of experience

Technologies

• Python
• TensorFlow
• NLTK
• LangGraph
• LLaMA
• Mistral
• Gemma
• Scikit-Learn

The Opportunity

As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision making and driving business growth. Within the Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy AI and ML based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI deployments.

What Sets You Apart

• Fields of study include Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, or Information Technology
• Certifications aligned to data engineering, machine learning, and cloud platforms such as AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials