AI Solutions Engineering Delivery Lead

PwC is a leading professional services firm that focuses on leveraging advanced technologies in data and analytics engineering. The AI Solutions Engineering Delivery Lead will oversee multiple teams in delivering comprehensive AI solutions, driving business growth, and fostering a culture of innovation and continuous improvement.

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

Requirements:

• 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
• 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