R esponsibilities

AI expertise

• Serve as the Subject Matter Expert (SME) in AI and machine learning .

• Stay up to date on the latest AI advancements and integrate best practices into PwC's digital strategy.

• Provide thought leadership and insights on emerging AI trends and technologies.
  

Solution s architecture

• Design and create AI-driven solutions tailored to the needs of various lines of service.

• De sign high-level solutions, including system architecture, data flow and integration points.

• Collaborate with technical teams to ensure architectural alignment and adherence to best practices.
  

Digital asset development

• Lead the development and deployment of AI-based digital assets that enhance service delivery for clients.

• Ensure digital assets are scalable, secure and maintainable.

• Oversee the full lifecycle of digital assets from ideation to deployment , and ongoing support.
  

Team management

• Manage, mentor and develop a team of AI and ML professionals.

• Foster a collaborative and innovative team environment that encourages continuous learning and growth.

• Conduct regular performance reviews and provide constructive feedback to team members.
  

Client engagement

• Work closely with client-facing teams to understand client needs and translate them into AI solutions.

• Participate in client meetings and presentations to demonstrate AI capabilities and solutions.

• Provide technical guidance and support during client engagements.
  

Collaboration and communication

• Collaborate with cross-functional teams, including data scientists, engineers and business analysts.

• Communicate complex AI concepts clearly to non-technical stakeholders.

• Foster a culture of continuous learning and innovation within the digital team.
  

Project management

• Manage multiple AI projects simultaneously, ensuring timely delivery and quality.

• Define project scope s , objectives and deliverables in alignment with business goals.

• Monitor project progress and provide regular updates to stakeholders.
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science , M athematics, Data Science, Engineering or a related field.

• Minimum of seven years ’ experience in AI or ML development and solution s architecture.

• Proven track record in designing and deploying AI solutions in a business environment.

• Minimum of three years ’ experience in a managerial or team leadership role.

• Experience working with cross-functional teams and managing complex projects.

• E xperience in a consulting environment is advantageous .
  

Technical skills

• Strong foundation in AI concepts and generative AI techniques such as GANs and VAEs .

• Pr actical experience with machine learning frameworks such as TensorFlow and PyTorch .

• Strong programming skills in languages such as Python and R.

• Knowledge of data processing and analysis, natural language processing and computer vision.

• U nderstanding of cloud computing and big data technologies.
  

Soft skills

• Excellent problem-solving and analytical skills.

• Strong communication and presentation skills.

• Ability to work effectively in a team .

• High ly adaptable with a continuous learning mindset.