AI Engineer

PwC

AI Engineer transforming raw data into actionable insights to drive business growth. Building AI systems and scalable machine learning models in a collaborative environment.

Posted 7/29/2026full-timeTampa • Florida, Illinois, North Carolina, Ohio • 🇺🇸 United StatesJuniorMid-Level💰 $55,000 - $151,470 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI systems, developing scalable machine learning models, and conducting complex data analysis. Proficient in Python and TensorFlow, with a strong focus on data integration and stakeholder collaboration.

Highest-signal resume keywords

AI System DesignMachine Learning Model DevelopmentPython ProficiencyTensorFlow ExpertiseData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisData ModelingNatural Language ProcessingDeep LearningNeural NetworksData Pipeline ManagementAI ImplementationData Engineering PracticesSentiment Analysis

Soft Skills

Critical ThinkingProblem-SolvingCollaborationMentoringClient Relationship Building

Tools & Technologies

AWSGoogle CloudMicrosoft AzureDatabricksSnowflake

Certifications & Qualifications

Data Engineering CertificationMachine Learning CertificationCloud Platform Certification

Industry Keywords

AIMachine LearningData IntegrationData InfrastructureText Analytics

Tech Stack

Tools & technologies

AWSAzureCloudPythonTensorflow

About the role

Key responsibilities & impact

Designing and implementing AI systems to transform raw data into actionable insights
Developing scalable machine learning models using Python and TensorFlow
Integrating data from diverse sources to support AI and machine learning solutions
Conducting complex data analysis to identify patterns and trends for informed decision-making
Collaborating with internal teams to enhance data infrastructure and integration processes
Utilizing natural language processing techniques to improve text analytics and sentiment analysis
Applying deep learning and neural network methodologies to optimize AI model performance
Managing data pipelines to validate efficient data flow and processing
Building and maintaining relationships with stakeholders to align AI initiatives with business objectives
Mentoring junior team members in AI implementation and data engineering practices

Requirements

What you’ll need

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
At least 2 years of experience
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Proficiency in Python and TensorFlow
Excelling in complex data analysis and data modeling
Navigating ambiguity with critical thinking and problem-solving
Building meaningful client connections

Benefits

Comp & perks

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