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PwC

GenAI Python Systems Engineer – Experienced Associate

PwC

GenAI Python Systems Engineer focusing on data solutions and AI techniques with PwC. Building relationships with clients and delivering agile solutions in a fast-paced environment.

Posted 7/31/2026full-timeRemote • Illinois, North Carolina, Ohio • 🇺🇸 United StatesJuniorMid-Level💰 $61,000 - $100,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data architecture strategies, cloud platform certifications, and programming languages while effectively collaborating with clients and team members to achieve project objectives and uphold professional standards.

Highest-signal resume keywords
Cloud Platform CertificationData Architecture Strategy DesignProgramming Languages: Python, Java, ScalaSQL and Relational DatabasesContainer Management with Docker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisAI Techniques for LLMsMachine Learning WorkflowsData Pipeline MonitoringSoftware Quality Assurance
Soft Skills
Relationship BuildingTeam CollaborationEthical Practices
Tools & Technologies
AWS CloudFormationAzure Resource ManagerTerraformDocker
Certifications & Qualifications
AWS Certified Solutions ArchitectAWS Data EngineerGoogle Professional Cloud ArchitectGCP Data EngineerMicrosoft Certified: Azure Solutions Architect ExpertAzure Data Engineer Associate
Industry Keywords
Management Information SystemsComputer and Information ScienceSystems EngineeringMathematicsStatistics

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformJavaPythonScalaSQLTerraform

About the role

Key responsibilities & impact
  • Build and maintain sturdy relationships with clients and team members
  • Contribute to the development of solutions in a dynamic environment
  • Work with team members to achieve project objectives
  • Analyze data to derive insights and inform decision-making
  • Uphold professional standards and ethical practices in every task

Requirements

What you’ll need
  • Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
  • At least 1 year of experience
  • Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate]
  • Skilled in programming languages like Python, Java, or Scala
  • Demonstrating competence in SQL and relational databases
  • Managing containerized deployments with Docker
  • Maintaining software quality through developer-led testing
  • Understanding AI techniques enhancing LLMs
  • Designing data architecture strategies for business needs
  • Working with stakeholders to translate data requirements
  • Familiarity with machine learning and data science workflows
  • Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
  • Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments

Benefits

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