Software and Product Innovation - AI engineer - Senior 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.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Skills

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

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model and reinforce 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

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 and Product Innovation team you will lead the design and development of advanced AI-integrated applications and microservices. As a Senior Manager you will drive strategic initiatives, leveraging your knowledge to innovate processes and promote operational excellence while collaborating with cross-functional teams to achieve project success.

Responsibilities

• Lead the design and implementation of innovative AI-driven applications and microservices
• Drive strategic initiatives to enhance project outcomes and effectiveness
• Collaborate with cross-functional teams to secure successful project execution
• Innovate processes to maintain exceptional standards of operational excellence
• Utilize technical knowledge to guide teams through complex challenges
• Foster a culture of collaboration and continuous improvement
• Provide mentorship and coaching to team members to enhance their skills
• Stay updated on industry trends to inform strategic decisions
  
  

What You Must Have

• Bachelor's Degree
• 14 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• 14 years of experience in AI engineering
• Proven leadership in architectural design and implementation
• Strategic thinking with a technical background
• Managing cross-functional teams effectively
• Developing and optimizing RAG platforms
• Promoting observability and optimization of AI applications
• Implementing CI/CD pipelines and containerization
• Collaborating with engineering and data science teams
• Familiarity with AI coding tools and frameworks