CTandI - Software And Product Innovation - AI Engineer Manager

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Software Engineering team you will architect and build entire stack, AI-integrated applications that drive innovation and performance. As a Manager you will lead teams in delivering scalable solutions while maintaining adherence to established practices in application architecture and security. This position provides an exciting opportunity to work with advanced technologies, mentor talented engineers, and shape the future of AI-driven applications.

Responsibilities

• Architect and develop end-to-end applications integrated with AI
• Lead teams in delivering scalable and secure software solutions
• Maintain compliance with established practices in application architecture
• Mentor and guide engineers in their professional development
• Collaborate on innovative projects utilizing advanced technologies
• Drive performance improvements through productive project management
• Analyze system requirements to identify potential enhancements
• Foster a culture of innovation and continuous improvement
  
  

What You Must Have

• Bachelors Degree
• 8 years of experience in software engineering
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Certifications in AI/ML, Cloud Architecture
• Demonstrating hands-on experience with React, Python and backend stacks
• Leading design and delivery of AI-integrated applications
• Building and managing microservices at scale
• Understanding agentic frameworks and LLM integration
• Familiarity with observability and performance optimization
• Collaborating with cross-functional teams for business impact
• Driving event-driven architectures for GenAI workloads
• Familiarity with Agile methodologies and cloud-native patterns

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