Lead design and deployment of scalable AI and ML systems, drive business development, mentor AI engineering teams, collaborate with clients, implement data infrastructure and pipelines, and apply Python/Java to productionize models.
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 Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others to follow your vision, driving business growth and shaping the direction of client engagements.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to our success. You will cultivate the potential in others and actively collaborate across the PwC Network, leveraging our collective strength.
Responsibilities
- Leading the design and deployment of AI systems to transform raw data into actionable insights
- Overseeing the development of scalable AI and Machine Learning solutions using advanced technologies
- Driving business growth by identifying market gaps and converting opportunities into successes
- Mentoring and guiding teams in AI engineering to foster innovation and creativity
- Collaborating with clients to shape the direction of AI-driven engagements and solutions
- Promoting technological advances to create environments where people and technology thrive together
- Managing complex data analysis and integration to support AI model implementation
- Utilizing programming languages such as Python and Java to enhance AI system capabilities
- Implementing data infrastructure and quality measures to support robust AI solutions
- Encouraging systemic thinking and rapid experimentation to solve complex problems creatively
What You Must Have
- At least a Bachelor's degree
- At least 9 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
- Leading AI implementation projects with a focus on innovation
- Utilizing advanced machine learning libraries like TensorFlow and Scikit-Learn
- Developing complex data models and pipelines for analytics
- Excelling in programming languages such as Python and C++
- Driving thought leadership in artificial intelligence and data science
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
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 Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others to follow your vision, driving business growth and shaping the direction of client engagements.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to our success. You will cultivate the potential in others and actively collaborate across the PwC Network, leveraging our collective strength.
Responsibilities
- Leading the design and deployment of AI systems to transform raw data into actionable insights
- Overseeing the development of scalable AI and Machine Learning solutions using advanced technologies
- Driving business growth by identifying market gaps and converting opportunities into successes
- Mentoring and guiding teams in AI engineering to foster innovation and creativity
- Collaborating with clients to shape the direction of AI-driven engagements and solutions
- Promoting technological advances to create environments where people and technology thrive together
- Managing complex data analysis and integration to support AI model implementation
- Utilizing programming languages such as Python and Java to enhance AI system capabilities
- Implementing data infrastructure and quality measures to support robust AI solutions
- Encouraging systemic thinking and rapid experimentation to solve complex problems creatively
What You Must Have
- At least a Bachelor's degree
- At least 9 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
- Leading AI implementation projects with a focus on innovation
- Utilizing advanced machine learning libraries like TensorFlow and Scikit-Learn
- Developing complex data models and pipelines for analytics
- Excelling in programming languages such as Python and C++
- Driving thought leadership in artificial intelligence and data science
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
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 Seattle, Washington, USA Office
1420 Fifth Avenue Suite 2800, Seattle, WA, United States, 98101
PwC Seattle, Washington, USA Office
1420 Fifth Avenue Suite 2800, Seattle, Washington , United States, 98101
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and oversee large-scale SAP ERP implementation programs: define objectives, allocate resources, coordinate stakeholders, mitigate risks, apply Agile and program management practices, drive process improvements, train users, and monitor benefits realization across multiple projects within Finance Technology.
Top Skills:
AgileSAPSap Core Erp
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Serve on PwCs Bankruptcy Consultation & Facilitation team analyzing complex US bankruptcy-related business risks, managing multiple projects, mentoring team members, driving project execution with technology, conducting research, and delivering high-quality client recommendations while building strong client relationships and maintaining professional standards.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Manage global tax risk for PwC's Global Network Tax team with a U.S. tax focus. Lead projects from planning through completion, mentor and develop team members, ensure quality and compliance, address partnership tax risk and remediation, collaborate with subject matter experts, promote digitization and innovation, and uphold professional and independence standards.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
