Lead design, development, and deployment of scalable AI/ML systems. Oversee data wrangling, integration, modeling, and software implementation. Use Python, C++, Java and ML libraries (TensorFlow, Scikit-Learn). Collaborate with stakeholders, validate outcomes, coach diverse teams, and drive innovation to deliver client-focused AI solutions at scale.
The Opportunity
As an AI Engineering Lead, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Manager, you will apply your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will navigate through ambiguity, demonstrating composure and applying sound judgment to drive project success.
In this role at PwC, you will focus on building and deploying AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will craft and convey clear, impactful messages, validate outcomes with clients, and act on feedback to enhance solutions. Your ability to develop and sustain diverse and inclusive teams contributes to the overall success of our firm, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading the design and development of AI systems to transform raw data into actionable insights
- Managing the deployment of scalable AI and Machine Learning solutions for client projects
- Overseeing data wrangling and software implementation to enhance AI model utility and scalability
- Guiding teams in applying advanced data engineering techniques to drive business growth
- Utilizing programming languages such as Python and C++ to develop robust data solutions
- Implementing data integration and modeling strategies to support AI initiatives
- Directing complex data analysis to identify opportunities for innovation and improvement
- Collaborating with stakeholders to validate outcomes and incorporate client feedback
- Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn
- Coaching and motivating diverse teams to solve complex problems and achieve project success
What You Must Have
- At least a Bachelor's degree
- At least 7 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 advanced skills in AI implementation and machine learning libraries
- Utilizing programming languages such as Python, Java, and C++
- Excelling in complex data analysis and data modeling techniques
- Innovating with open-source software and rapid experimentation
- Leading teams through ambiguity with sound judgment and strategic advising
The 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
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 AI Engineering Lead, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Manager, you will apply your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will navigate through ambiguity, demonstrating composure and applying sound judgment to drive project success.
In this role at PwC, you will focus on building and deploying AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will craft and convey clear, impactful messages, validate outcomes with clients, and act on feedback to enhance solutions. Your ability to develop and sustain diverse and inclusive teams contributes to the overall success of our firm, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading the design and development of AI systems to transform raw data into actionable insights
- Managing the deployment of scalable AI and Machine Learning solutions for client projects
- Overseeing data wrangling and software implementation to enhance AI model utility and scalability
- Guiding teams in applying advanced data engineering techniques to drive business growth
- Utilizing programming languages such as Python and C++ to develop robust data solutions
- Implementing data integration and modeling strategies to support AI initiatives
- Directing complex data analysis to identify opportunities for innovation and improvement
- Collaborating with stakeholders to validate outcomes and incorporate client feedback
- Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn
- Coaching and motivating diverse teams to solve complex problems and achieve project success
What You Must Have
- At least a Bachelor's degree
- At least 7 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 advanced skills in AI implementation and machine learning libraries
- Utilizing programming languages such as Python, Java, and C++
- Excelling in complex data analysis and data modeling techniques
- Innovating with open-source software and rapid experimentation
- Leading teams through ambiguity with sound judgment and strategic advising
The 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
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
Manages PwC’s internal state and local partnership tax function, leading tax compliance, return preparation, research, planning, budgeting, and optimization initiatives. Oversees projects, analyzes financial data, manages stakeholder relationships, ensures regulatory compliance, and mentors junior staff. The role also involves drafting and reviewing tax documents, resolving issues, improving tax processes through technology and innovation, and maintaining professional and technical standards.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads capital markets accounting advisory engagements involving mergers, acquisitions, restructuring, IPO preparation, equity compensation, technical accounting, and financial reporting. Provides strategic transaction guidance, develops financial models, manages project plans and budgets, mentors teams, oversees deliverables, resolves stakeholder issues, and maintains client service quality. Requires a bachelor’s degree, at least four years of experience, and an active CPA license.
Top Skills:
AlteryxFinancial ModelingFinancial ReportingFinancial SystemsGaapIfrsTechnical Accounting
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads AI and data-driven solutions for AML and sanctions clients in banking and capital markets. Responsibilities include developing AI solutions with Python, managing data architecture and pipelines, overseeing analytics and visualization deployments, guiding advanced analytics teams, engaging stakeholders, validating client outcomes, improving processes, and coaching diverse teams through complex situations.
Top Skills:
Artificial IntelligenceData AnalyticsData ArchitectureData PipelinesData VisualizationPython
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
