Lead design and delivery of scalable AI/ML systems: data wrangling, model training, deployment, and infrastructure. Manage teams, mentor staff, own project planning/budgeting, and collaborate with stakeholders to drive AI-driven business insights.
The Opportunity
As an AI Engineer- Manager- Commercial Technology & Innovation, 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 Manager, you will motivate, develop, and inspire others to deliver quality, while coaching and managing performance to meet client expectations. You will articulate our purpose and values meaningfully, embracing technology and innovation to enhance delivery.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy 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 take ownership of projects, confirming their successful planning, budgeting, execution, and completion. By partnering with team leadership, you will confirm collective ownership of quality, timelines, and deliverables, while encouraging skill development beyond comfort zones. Your leadership will be instrumental in addressing conflicts and upholding professional standards, contributing to the firm's success.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning solutions
- Applying advanced data wrangling techniques to support AI model deployment
- Utilizing programming languages such as Python and C++ for AI software development
- Managing data infrastructure and integration to enhance data quality and accessibility
- Overseeing the creation and maintenance of data pipelines and modeling processes
- Leveraging machine learning libraries like TensorFlow and Scikit-Learn for model training
- Conducting complex data analysis to drive informed decision-making and business growth
- Collaborating with stakeholders to identify opportunities for AI-driven innovation
- Mentoring team members to develop their skills and encourage professional growth
What You Must Have
- At least a Bachelor's degree
- At least 5 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 AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Excelling in data integration and infrastructure management
- Implementing neural networks and reinforcement learning agents
- Leading projects with strategic planning and execution
The salary range for this position is: $99,000 - $232,000. 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 Engineer- Manager- Commercial Technology & Innovation, 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 Manager, you will motivate, develop, and inspire others to deliver quality, while coaching and managing performance to meet client expectations. You will articulate our purpose and values meaningfully, embracing technology and innovation to enhance delivery.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy 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 take ownership of projects, confirming their successful planning, budgeting, execution, and completion. By partnering with team leadership, you will confirm collective ownership of quality, timelines, and deliverables, while encouraging skill development beyond comfort zones. Your leadership will be instrumental in addressing conflicts and upholding professional standards, contributing to the firm's success.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning solutions
- Applying advanced data wrangling techniques to support AI model deployment
- Utilizing programming languages such as Python and C++ for AI software development
- Managing data infrastructure and integration to enhance data quality and accessibility
- Overseeing the creation and maintenance of data pipelines and modeling processes
- Leveraging machine learning libraries like TensorFlow and Scikit-Learn for model training
- Conducting complex data analysis to drive informed decision-making and business growth
- Collaborating with stakeholders to identify opportunities for AI-driven innovation
- Mentoring team members to develop their skills and encourage professional growth
What You Must Have
- At least a Bachelor's degree
- At least 5 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 AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Excelling in data integration and infrastructure management
- Implementing neural networks and reinforcement learning agents
- Leading projects with strategic planning and execution
The salary range for this position is: $99,000 - $232,000. 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.
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and implement data solutions, pipelines, architectures, analytics, reports, and dashboards for clients. Apply Python, Java, ETL, business intelligence, and advanced analytics techniques to interpret complex data, improve operations, and support strategic decisions. Collaborate with stakeholders, manage client relationships, identify data challenges, and deliver high-quality managed services work while contributing to continuous process improvement.
Top Skills:
Amazon RedshiftAWSChange Data CaptureDatastageDb2ETLGoldengateJavaOracle Business IntelligencePythonQlikviewSQL ServerWorkload Scheduler
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads healthcare operations consulting engagements by analyzing client needs, developing operational strategies, improving processes, managing transformation projects, and using analytics to enhance performance. Oversees planning, budgeting, resources, stakeholder engagement, and service delivery while coaching teams, managing conflicts, supporting change initiatives, and identifying business opportunities.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Evaluates clients’ digital environments, internal controls, cybersecurity measures, governance, and regulatory compliance. Performs audit and assurance assessments, data quality testing, and digital asset reviews while interpreting data to develop recommendations. Builds client relationships, collaborates with teams, leverages cloud and AI platforms, and maintains professional, technical, and independence standards.
Top Skills:
Artificial Intelligence PlatformsBlockchainCloud EngineeringCybersecurityDigital Assets
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
