As a Director in AI Engineering, you will lead the design and deployment of machine learning models, drive business growth, and mentor future leaders while fostering a culture of innovation and improvement.
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. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Data and Analytics Engineering team you will lead the design, training, and deployment of innovative machine learning models in production environments. As a Director, you will set the strategic direction for AI initiatives, driving business growth through creative solutions while mentoring the next generation of leaders in the field. This role offers the chance to work with advanced technologies and collaborate with cross-functional teams to shape the future of AI at PwC.
Responsibilities
- Oversee the creation of scalable, cloud-native microservices and CI/CD pipelines
- Promote the reliability and maintainability of deployed AI systems
- Advocate the use of innovative technologies in AI and machine learning
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- 10 years of experience in AI/ML engineering, software development, or technical leadership roles
What Sets You Apart
- Master's Degree in Computer Science, Artificial Intelligence and Robotics, Software Engineering preferred
- Demonstrating thought leader-level abilities in AI solutions
- Managing large-scale AI solution development projects
- Leading cross-functional engineering teams effectively
- Utilizing Python and ML frameworks for development
- Applying cloud platforms like AWS, GCP, Azure
- Excelling in machine learning and analytical techniques
- Mentoring junior engineers and fostering collaboration
- Championing Responsible AI practices and governance
Learn more about how we work: https://pwc.to/how-we-work
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.
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.
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.
The salary range for this position is: $155,000 - $410,000. 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
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Lead in line with our values and brand.
- Develop new ideas, solutions, and structures; drive thought leadership.
- Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
- Balance long-term, short-term, detail-oriented, and big picture thinking.
- Make strategic choices and drive change by addressing system-level enablers.
- Promote technological advances, creating an environment where people and technology thrive together.
- Identify gaps in the market and convert opportunities to success for the Firm.
- Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the design, training, and deployment of innovative machine learning models in production environments. As a Director, you will set the strategic direction for AI initiatives, driving business growth through creative solutions while mentoring the next generation of leaders in the field. This role offers the chance to work with advanced technologies and collaborate with cross-functional teams to shape the future of AI at PwC.
Responsibilities
- Oversee the creation of scalable, cloud-native microservices and CI/CD pipelines
- Promote the reliability and maintainability of deployed AI systems
- Advocate the use of innovative technologies in AI and machine learning
- Foster a culture of continuous improvement and knowledge sharing within the team
What You Must Have
- Bachelor's Degree
- 10 years of experience in AI/ML engineering, software development, or technical leadership roles
What Sets You Apart
- Master's Degree in Computer Science, Artificial Intelligence and Robotics, Software Engineering preferred
- Demonstrating thought leader-level abilities in AI solutions
- Managing large-scale AI solution development projects
- Leading cross-functional engineering teams effectively
- Utilizing Python and ML frameworks for development
- Applying cloud platforms like AWS, GCP, Azure
- Excelling in machine learning and analytical techniques
- Mentoring junior engineers and fostering collaboration
- Championing Responsible AI practices and governance
Learn more about how we work: https://pwc.to/how-we-work
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.
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.
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.
The salary range for this position is: $155,000 - $410,000. 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
Top Skills
AWS
Azure
GCP
Machine Learning Frameworks
Python
PwC Austin, Texas, USA Office
835 West 6th Street, Austin, TX, United States, 78703
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Manage IT project planning and delivery using Agile methodology, lead large projects, oversee technical operations, and communicate effectively with stakeholders.
Top Skills:
Agile MethodologyAsp.NetC#Cloud-Based ImplementationsContinuous IntegrationDevOpsItilSdlc MethodologySQL ServerSsrs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.
Top Skills:
AWSAzureCi/CdGitGCPLangchainNltkNoSQLPandasPythonSemantic KernelSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves leading technology strategy, managing cross-functional teams, and driving cloud adoption and enterprise-wide transformations.
Top Skills:
AgileCloud ComputingScrum
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

