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PwC

AI Engineer, AI Experienced Associate

PwC

AI Engineer developing scalable AI-powered solutions in the Digital Assurance & Technology team. Collaborating with data scientists and engineers to deliver AI products.

Posted 7/17/2026full-timeChicago • California, Connecticut, Illinois, Massachusetts, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $63,000 - $141,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI systems and developing scalable machine learning models. Proficient in data wrangling, advanced algorithms, and delivering quality client support in fast-paced environments.

Highest-signal resume keywords
AI ImplementationMachine Learning TechniquesData Engineering CertificationsCloud Platforms (AWS, Google Cloud, Microsoft Azure)Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningData WranglingAlgorithm DevelopmentData AnalysisAI System Design
Soft Skills
Client SupportAdaptabilityCollaborationContinuous LearningQuality Work
Tools & Technologies
AWSGoogle CloudMicrosoft AzureDatabricksSnowflake
Certifications & Qualifications
Data Engineering CertificationsMachine Learning CertificationsCloud Platform Certifications
Industry Keywords
Artificial IntelligenceData ScienceAnalyticsRoboticsInformation Systems

Tech Stack

Tools & technologies
AWSAzureCloud

About the role

Key responsibilities & impact
  • Designing and implementing AI systems to transform raw data into actionable insights
  • Developing scalable machine learning models to support client decision-making processes
  • Collaborating with cross-functional teams to integrate AI solutions into existing platforms
  • Conducting data wrangling and preprocessing to prepare datasets for analysis
  • Applying advanced algorithms to enhance the performance of AI models
  • Building and deploying software systems that leverage AI and machine learning technologies
  • Analyzing complex data sets to identify patterns and trends that inform business strategies
  • Supporting client engagements by delivering quality work and adapting to diverse project requirements
  • Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
  • Upholding professional and technical standards while contributing to team success

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 1 years of experience
  • Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
  • At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
  • Demonstrating proficiency in AI implementation and machine learning techniques
  • Excelling in client support within fast-paced environments
  • Adapting quickly to diverse client needs and project scopes
  • Building a personal brand through consistent quality work
  • Utilizing analytical skills to discern patterns and insights

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave
  • annual discretionary bonus