AI Solutions Engineering Delivery Lead

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Director

Job Description & Summary

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