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PwC · 1 week ago

GenAI Python Systems Engineer-Manager

Cincinnati, OH

Full-time

Hybrid

Mid, Senior Level

$99K/yr - $232K/yr

5+ years exp

PwC is a leading firm specializing in data, analytics, and AI. They are seeking a GenAI Python Systems Engineer-Manager to lead the development and implementation of data architecture strategies while mentoring team members and collaborating with stakeholders to enhance cloud resources and drive innovation.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Lead the design and execution of data architecture strategies that support business objectives

Mentor and guide team members to deliver exceptional solutions

Utilize team strengths to manage performance and fulfill client requirements

Collaborate with stakeholders to enhance cloud resources effectively

Drive innovation and technology adoption to advance data integration solutions

Foster a culture of continuous improvement and learning within the team

Uphold the firm's ethical standards and business conduct

Implement strategic planning to achieve project success and quality outcomes

Qualification

PythonSQLCloud Platforms CertificationData Integration SolutionsDockerAI TechniquesPrompt EngineeringDevOps PipelinesStakeholder CollaborationTeam LeadershipMentoring

Required

Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

5 years of experience

Preferred

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, Snowflake Core, Snowflake Databricks Data Engineer Associate]

Proficient in Python and SQL

Experience with Docker and containerized deployments

Skilled in AI techniques enhancing LLMs

Experience in prompt engineering for LLM optimization

Implementing data integration solutions using AWS, Azure, GCP

Utilizing AWS CloudFormation, Azure Resource Manager, Terraform

Building and deploying DevOps pipelines with cloud services

Enhancing cloud resources for cost and performance