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PwC · 15 hours ago

GenAI Python Systems Engineer –Senior Manager

NC-Charlotte

Full-time

Onsite

Director/Executive

$124K/yr - $280K/yr

PwC is a leading advisory services firm specializing in data, analytics, and AI. The Senior Manager role focuses on designing and building data infrastructure and systems, developing data pipelines, and providing actionable insights to clients while leading and mentoring a team.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Craft and convey clear, impactful and engaging messages that tell a holistic story

Apply systems thinking to identify underlying problems and/or opportunities

Validate outcomes with clients, share alternative perspectives, and act on client feedback

Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations

Deepen and evolve your expertise with a focus on staying relevant

Initiate open and honest coaching conversations at all levels

Make difficult decisions and take action to resolve issues hindering team effectiveness

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements

Demonstrates in-depth abilities and/or success in one or many of the following areas: Strong proficiency in Python and experience with structured and unstructured data

Strong proficiency in SQL and experience with relational databases

Experience writing and maintaining FastAPI endpoints for scalable applications

Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc

Experience in prompt engineering for optimizing LLM outputs

Experience with AI, GenAI, and machine learning and data science workflows

Experience with machine learning and data science workflows is a plus

Experienced in high software quality through developer-led testing, validation, and best practices

Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging

Knowledge of software development workflows and CI/CD pipelines

Work with Docker, including writing Docker files and managing containerized deployments

Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc

Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services

Design and manage data warehouses and data lakes, ensuring data is organized and accessible

Design and implement comprehensive data architecture strategies that meet the current and future business needs

Develop and document data or system models, flow diagrams, and architecture guidelines

Ensure data architecture is compliant with data governance and data security policies

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions

Evaluate and recommend new data technologies and tools to enhance data architecture

Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP

Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments

Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines

Optimize Cloud resources for cost, performance, and scalability

Knowledge of data governance and data security best practices

Strong analytical, problem-solving, and communication skills

Ability to work independently and as part of a team in a fast-paced environment

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance

Qualification

PythonSQLFastAPIAI techniquesMachine learningData integrationAWSAzureGCPData architectureCoachingCommunication skillsProblem-solvingTeam collaboration

Required

Strong proficiency in Python and experience with structured and unstructured data