Systems Engineer

Industry/SectorNot ApplicableSpecialismIFS - Internal Firm Services - OtherManagement LevelDirectorJob Description & SummaryAt 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: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: The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior technical leader, you will leverage deep technical specialization, strategic vision, comprehensive business acumen, and exceptional stakeholder communication skills to deliver impactful AI-driven solutions. This is a “hand-on” overseeing one or more AI solution work streams, driving continuous adaptation to emerging technologies, ensuring rigorous quality standards, and fostering a culture of continuous improvement and innovation. Responsibilities:- Provide strategic and technical leadership across multiple AI solution delivery teams- Architect and oversee the delivery of comprehensive AI solutions, emphasizing full-stack development, including integration of Large Language Models (LLMs) and orchestrated applications- Manage and own the full lifecycle of AI models and solutions, from development through deployment, monitoring, maintenance, and iterative enhancement- Direct experiment-driven development, ensuring rapid prototyping, testing, validation, and operational excellence- Establish and drive consistent quality control and continuous improvement of AI solutions, closely collaborating with business stakeholders to align solutions with strategic objectives- Develop and maintain robust stakeholder relationships, clearly communicating complex solutions and strategic implications to senior business leaders- Promote technical innovation, process improvement, and effective methodologies across teams- Continuously evaluate and drive adoption of emerging technologies to enhance solution capabilities and maintain competitive advantageWhat You Must Have:- Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field - Minimum of 10 years of experience, including substantial experience in a senior technical leadership role managing multiple multidisciplinary teams What Sets You Apart: - An advanced degree is preferred - Proven track record of hands-on experience in architecting, delivering, and managing AI and machine learning solutions, particularly with orchestrated LLM applications - Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable - Extensive experience with Agile methodologies, continuous integration/continuous deployment (CI/CD), Git version control, and rigorous testing frameworks (unit, integration, end-to-end) - Extensive experience translating complex technical solutions into strategic business outcomes - Prior experience leveraging executive-level communication skills, capable of effectively articulating technical and strategic concepts to multiple stakeholders while navigating ambiguity - Proven track record of leading strategy, emphasizing analytical, decision-making, and problem-solving capabilities- Proven ability to navigate complexity and ambiguity, providing clear direction and maintaining composure under pressureTravel RequirementsUp to 20%Job Posting End DateThe salary range for this position is: $122,500 - $423,780. For residents of Washington state the salary range for this position is: $122,500 - $504,500. 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: 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: more about how we work: 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: NY-New York; NC-Raleigh; NC-Charlotte; IL-Chicago; OH-Cincinnati; OH-Cleveland; OH-Columbus; TX-Dallas; MD-Baltimore; NY-Rochester; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; CA-Silicon Valley; WA-Seattle; SC-Spartanburg; NY-Albany; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; TX-Austin; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; MI-Grand Rapids; IN-Indianapolis; CA-Irvine; FL-Jacksonville; MO-Kansas City; NV-Las Vegas; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; US-Remote; AR-Fayetteville; NY-Melville; FL-Miami; WI-Milwaukee; MN-Minneapolis; VT-Montpelier; TN-Nashville; LA-New Orleans; OK-Oklahoma City; FL-Orlando; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-PortlandType: Full time