Lead implementations of Native - AI - powered ERP automation products for clients in various sectors. Collaborate with technical teams and ensure high customer satisfaction throughout the project lifecycle.
About the role
- Director of AI Solutions Engineering at PwC overseeing development teams for comprehensive AI solutions. Leading technical vision and stakeholder relationships while ensuring operational excellence in AI-driven projects.
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
- 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
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus
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