Design, build, and deploy AI and machine learning solutions at scale. Develop data pipelines and scalable models, perform data wrangling and analysis, apply NLP and neural networks, collaborate with clients and teams, and contribute to open-source and iterative improvement of AI systems.
The Opportunity
As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.
As an Associate, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models, all while adapting to a fast-paced environment and diverse client needs. Embrace the opportunity to learn and grow, taking ownership of your development and consistently delivering work that drives value for our clients and success as a team.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable data models and pipelines to support AI systems and enhance data integration
- Utilizing programming languages such as Python and machine learning libraries like TensorFlow and Scikit-Learn to build and deploy AI models
- Engaging in complex data analysis to identify patterns and inform decision-making processes
- Collaborating with team members to address client challenges and deliver quality solutions
- Applying natural language processing techniques to improve text analytics and sentiment analysis
- Building and maintaining data infrastructure to support AI and machine learning initiatives
- Participating in the development of open-source software solutions to advance AI capabilities
- Conducting data wrangling and preprocessing to prepare datasets for machine learning applications
- Contributing to the continuous improvement of AI systems through feedback and iterative development
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning tasks
- Utilizing TensorFlow and Neural Networks for advanced AI implementations
- Applying Natural Language Processing (NLP) techniques for text analytics
- Developing data pipelines and integration strategies for complex data environments
- Excelling in active listening and communication to enhance team collaboration
The salary range for this position is: $61,000 - $100,000. 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
As 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.
PwC 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.
Learn more about how we work: https://pwc.to/how-we-work
For 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.
As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.
As an Associate, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models, all while adapting to a fast-paced environment and diverse client needs. Embrace the opportunity to learn and grow, taking ownership of your development and consistently delivering work that drives value for our clients and success as a team.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable data models and pipelines to support AI systems and enhance data integration
- Utilizing programming languages such as Python and machine learning libraries like TensorFlow and Scikit-Learn to build and deploy AI models
- Engaging in complex data analysis to identify patterns and inform decision-making processes
- Collaborating with team members to address client challenges and deliver quality solutions
- Applying natural language processing techniques to improve text analytics and sentiment analysis
- Building and maintaining data infrastructure to support AI and machine learning initiatives
- Participating in the development of open-source software solutions to advance AI capabilities
- Conducting data wrangling and preprocessing to prepare datasets for machine learning applications
- Contributing to the continuous improvement of AI systems through feedback and iterative development
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning tasks
- Utilizing TensorFlow and Neural Networks for advanced AI implementations
- Applying Natural Language Processing (NLP) techniques for text analytics
- Developing data pipelines and integration strategies for complex data environments
- Excelling in active listening and communication to enhance team collaboration
The salary range for this position is: $61,000 - $100,000. 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
As 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.
PwC 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.
Learn more about how we work: https://pwc.to/how-we-work
For 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.
PwC San Francisco, California, USA Office


405 Howard Street Suite 600, San Francisco, CA, United States, 94105
PwC San Jose, California, USA Office


488 Amaden Boulevard, San Jose, CA, United States, 95110
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, implement, and secure cloud-based IT systems; integrate development, operations, and security practices (DevOps/SecOps). Manage deployments with Azure DevOps Server and AWS CloudFormation, perform vulnerability assessments and incident remediation, mentor junior staff, and collaborate with clients to deliver reliable, secure software.
Top Skills:
Aws CloudformationAzure Devops ServerCrowdstrikeGitlabJenkinsPalo Alto NetworksPythonTerraform
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provide high-level administrative support to senior executives across virtual and in-office/client sites. Manage schedules, coordinate meetings, handle confidential information, arrange travel and expenses, and use Microsoft Office, Google Workspace, WebEx, and social media tools. Apply a learning mindset, prioritize tasks, tailor communication, and support a global professional services network.
Top Skills:
Emerging Mobile And Virtual Support TechnologiesGoogle WorkspaceMicrosoft Office SuiteSocial Media ToolsWebex
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and execute software testing and quality assurance for banking platform transformations. Manage test case execution, defect resolution, automation framework implementation, test environments, and cross-functional coordination. Coach teams, apply systems thinking to diagnose issues, use agile methods, and communicate test outcomes to clients to drive continuous improvement.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine





