{"schemaVersion":"jobsearcher.job.v1","id":"8a8e3e5d6ffeecb8e72071d6","url":"https://jobsearcher.com/jobs/8a8e3e5d6ffeecb8e72071d6","canonicalUrl":"https://jobsearcher.com/jobs/8a8e3e5d6ffeecb8e72071d6","title":"GenAI Python Systems Engineer –Senior Manager","description":"At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.\n\nGrowing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.\nExamples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:\nCraft and convey clear, impactful and engaging messages that tell a holistic story.\nApply systems thinking to identify underlying problems and/or opportunities.\nValidate outcomes with clients, share alternative perspectives, and act on client feedback.\nDirect the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.\nDeepen and evolve your expertise with a focus on staying relevant.\nInitiate open and honest coaching conversations at all levels.\nMake difficult decisions and take action to resolve issues hindering team effectiveness.\nModel 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.\n\nDemonstrates in-depth abilities and/or success in one or many of the following areas:\nStrong proficiency in Python and experience with structured and unstructured data.\nStrong proficiency in SQL and experience with relational databases.\nExperience writing and maintaining FastAPI endpoints for scalable applications.\nStrong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc.\nExperience in prompt engineering for optimizing LLM outputs.\nExperience with AI, GenAI, and machine learning and data science workflows.\nExperience with machine learning and data science workflows is a plus.\nExperienced in high software quality through developer-led testing, validation, and best practices.\nUnderstanding of developer-led quality assurance, including automated testing, performance tuning, and debugging.\nKnowledge of software development workflows and CI/CD pipelines.\nWork with Docker, including writing Docker files and managing containerized deployments.\nDevelop 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.\nKnowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services.\nDesign and manage data warehouses and data lakes, ensuring data is organized and accessible.\nDesign and implement comprehensive data architecture strategies that meet the current and future business needs.\nDevelop and document data or system models, flow diagrams, and architecture guidelines.\nEnsure data architecture is compliant with data governance and data security policies.\nCollaborate with business stakeholders to understand their data requirements and translate them into technical solutions.\nEvaluate and recommend new data technologies and tools to enhance data architecture.\nImplement IAM roles and policies to manage access and permissions within AWS, Azure, GCP.\nUse AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments.\nUse AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines.\nOptimize Cloud resources for cost, performance, and scalability.\nKnowledge of data governance and data security best practices.\nStrong analytical, problem-solving, and communication skills.\nAbility to work independently and as part of a team in a fast-paced environment.\n\nDemonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:\nApplying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;\nCollaborating 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;\nPrioritizing 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,\nCoaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.\n\nLearn more about how we work: https://pwc.to/how-we-work\n\nPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.\n\nAs PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.\n\nFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.\n\nApplications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines\n\nThe salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance\n\n#LI-Hybrid","company":"PW","rawCompany":"pw","city":"Portland","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-04T09:51:44.475Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GenAI Python Systems Engineer –Senior Manager","description":"At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.\n\nGrowing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.\nExamples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:\nCraft and convey clear, impactful and engaging messages that tell a holistic story.\nApply systems thinking to identify underlying problems and/or opportunities.\nValidate outcomes with clients, share alternative perspectives, and act on client feedback.\nDirect the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.\nDeepen and evolve your expertise with a focus on staying relevant.\nInitiate open and honest coaching conversations at all levels.\nMake difficult decisions and take action to resolve issues hindering team effectiveness.\nModel 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.\n\nDemonstrates in-depth abilities and/or success in one or many of the following areas:\nStrong proficiency in Python and experience with structured and unstructured data.\nStrong proficiency in SQL and experience with relational databases.\nExperience writing and maintaining FastAPI endpoints for scalable applications.\nStrong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc.\nExperience in prompt engineering for optimizing LLM outputs.\nExperience with AI, GenAI, and machine learning and data science workflows.\nExperience with machine learning and data science workflows is a plus.\nExperienced in high software quality through developer-led testing, validation, and best practices.\nUnderstanding of developer-led quality assurance, including automated testing, performance tuning, and debugging.\nKnowledge of software development workflows and CI/CD pipelines.\nWork with Docker, including writing Docker files and managing containerized deployments.\nDevelop 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.\nKnowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services.\nDesign and manage data warehouses and data lakes, ensuring data is organized and accessible.\nDesign and implement comprehensive data architecture strategies that meet the current and future business needs.\nDevelop and document data or system models, flow diagrams, and architecture guidelines.\nEnsure data architecture is compliant with data governance and data security policies.\nCollaborate with business stakeholders to understand their data requirements and translate them into technical solutions.\nEvaluate and recommend new data technologies and tools to enhance data architecture.\nImplement IAM roles and policies to manage access and permissions within AWS, Azure, GCP.\nUse AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments.\nUse AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines.\nOptimize Cloud resources for cost, performance, and scalability.\nKnowledge of data governance and data security best practices.\nStrong analytical, problem-solving, and communication skills.\nAbility to work independently and as part of a team in a fast-paced environment.\n\nDemonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:\nApplying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;\nCollaborating 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;\nPrioritizing 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,\nCoaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.\n\nLearn more about how we work: https://pwc.to/how-we-work\n\nPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.\n\nAs PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.\n\nFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.\n\nApplications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines\n\nThe salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance\n\n#LI-Hybrid","datePosted":"2026-07-04T09:51:44.475Z","dateModified":"2026-07-04T09:51:44.475Z","hiringOrganization":{"@type":"Organization","name":"PW","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Portland","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8a8e3e5d6ffeecb8e72071d6"},"url":"https://jobsearcher.com/jobs/8a8e3e5d6ffeecb8e72071d6"}}