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:

• 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 advantage

What 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 pressure

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.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
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: https://pwc.to/us-application-deadlines
The salary range for this position is: $167,000 - $410,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

LI-Remot

• 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 advantag