Industry/Sector
Not Applicable
Specialism
Platform Engineering & Architecture
Management Level
Senior Manager
Job Description & Summary
At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance.
Those in integration architecture at PwC will focus on designing and implementing seamless integration solutions to connect various organisational systems and applications. Your work will involve creating robust architectures that enable efficient data flow and enhance overall business processes.
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.
Examples of the skills, knowledge, and experiences you need 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 Integration and Platform Architecture team you will lead the design and implementation of advanced Generative and Agentic AI solutions. As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to drive innovation and maintain alignment with PwC's digital transformation goals while mentoring multidisciplinary teams to deliver exceptional results.
Responsibilities
- Lead the design and execution of advanced Generative and Agentic AI solutions
- Serve as a strategic advisor to confirm alignment with digital transformation objectives
- Mentor and guide multidisciplinary teams to achieve exceptional outcomes
- Innovate and implement end-to-end technology solutions in AI architectures
- Collaborate with stakeholders to identify and address intricate challenges
- Drive initiatives that enhance operational productivity and effectiveness
- Maintain up-to-date knowledge of industry trends and emerging technologies
- Foster a culture of continuous improvement and innovation within the team
What You Must Have
- Bachelor's Degree
- 15 years of AI, ML, enterprise architecture, and full-stack technologies experience
- Certifications in AI solution architecture or cloud-based AI solutions (e.g., Azure AI Solutions Architect, AWS Certified Solutions Architect)
- Oral and written proficiency in English
What Sets You Apart
- BE/B.Tech/M.Sc/M.E/M.Tech/PhD or equivalent professional experience in AI, technology, or related disciplines
- Certifications in AI solution architecture or cloud-based AI solutions preferred
- Excelling in AI frameworks and platforms
- Designing and deploying agent-based AI systems
- Skilled in programming languages including Python, C#, JavaScript
- Demonstrating cloud architecture experience, especially Azure
- Familiarity with DevOps practices and tools
- Leading innovation in Generative and Agentic AI
- Skills needed for the role
- About the Role
- We are seeking an AI-Native Full Stack Senior Engineering Manager to lead the modernization and cloud transformation of legacy and on-premises applications to Microsoft Azure. The ideal candidate combines deep, hands-on expertise in full-stack application development on Azure with strong architectural leadership in migrating and modernizing workloads into cloud-native solutions. You will define the AI-native engineering strategy for your teams, establish standards for AI tool adoption across the organization, evaluate emerging AI development platforms, and drive measurable efficiency gains. AI-assisted development is not an add-on — it is how your teams operate.
Key Responsibilities
- Lead assessment, planning, and architecture of full stack application migration projects to Microsoft Azure.
- Analyze existing application portfolios for cloud readiness, dependencies, and modernization opportunities.
- Architect end-to-end migration solutions including re-hosting, re-platforming, and refactoring of front-end, back-end, and data components.
- Design cloud-native application architectures using Azure services such as Azure App Services, Azure Functions, AKS, Azure SQL Database, Cosmos DB, Blob Storage, Azure API Management, and Azure Active Directory.
- Develop and maintain Infrastructure as Code (IaC) templates using Azure Resource Manager (ARM), Terraform, or Bicep.
- Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, incorporating AI-powered code quality gates, automated security scanning, and AI-assisted deployment validation.
- Define and drive AI-native engineering strategy across teams, establishing standards for AI tool adoption, measuring productivity gains, and reporting efficiency metrics to leadership.
- Lead and mentor engineering teams on modern development frameworks (React, Angular, Vue.js) and backend technologies (Node.js, .NET Core, Java, Python) with AI-augmented workflows as the default.
- Design applications with AI agent integration points, evaluating and architecting agentic AI solutions within modernization and migration initiatives.
- Ensure application security best practices including Azure AD integration, role-based access control (RBAC), data encryption, and compliance.
- Collaborate cross-functionally with DevOps, Security, QA, and Business teams for delivery excellence.
- Monitor application performance, cost, and availability post-migration; implement optimization strategies using Azure Monitor, Application Insights, and Log Analytics.
- Evaluate emerging AI development tools and platforms; set adoption strategy and measure ROI for the engineering organization.
- Drive documentation of architecture designs, migration plans, and operational procedures.
- AI-Native Engineering Expectations
- Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex) as your default development workflow and define the AI-native engineering strategy for the organization.
- Evaluate emerging AI development tools and platforms; set adoption strategy and measure ROI.
- Establish organization-wide standards for AI-assisted development, code review, testing, and deployment.
- Drive measurable efficiency gains through AI tool adoption and report metrics to leadership.
- Architect applications with AI agent integration points, leveraging agentic AI frameworks (LangChain, Claude Agent SDK, Azure AI Agent Service, Azure Fabric).
- Mentor engineering leaders and teams on AI-native practices as the standard operating model.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 15+ years of experience in software engineering and architecture.
- 6+ years of hands-on experience with Microsoft Azure including modernization or migration.
- Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or Codex) with a track record of establishing AI-native engineering practices across teams.
- Experience evaluating and adopting new AI development tools and platforms for engineering organizations.
- Hands-on experience with agentic AI frameworks including LangChain, Claude Agent SDK, Azure AI Agent Service, and Azure Fabric.
- Experience designing applications with AI agent integration points and understanding how agentic AI intersects with the application layer.
- Ability to measure and report AI-driven efficiency metrics to leadership.
- Proficiency in front-end frameworks such as React, Angular, or Vue.js.
- Strong back-end development skills with Node.js, .NET Core, Java, Python, or equivalent.
- Experience migrating legacy applications to Azure using methodologies like lift-and-shift, re-platforming, and refactoring.
- In-depth knowledge of Azure services such as Azure App Services, AKS, Azure Functions, Azure SQL, Cosmos DB, Azure Storage, Azure API Management, and Azure Active Directory.
- Skilled with Infrastructure as Code (ARM templates, Terraform, Bicep).
- Familiarity with containerization and orchestration tools (Docker, Kubernetes, AKS).
- Strong understanding of application security, identity management, and cloud governance in Azure.
- Strong communication, leadership, and stakeholder management skills.
- Proven track record leading cloud migration or modernization projects.
- Knowledge of Agile methodology and practices.
- Prior experience with microservices architecture, serverless patterns, and event-driven design.
- Preferred Qualifications
Azure Certifications such as Microsoft Certified:
- Azure Solutions Architect Expert, Azure Developer Associate, or Azure DevOps Engineer Expert.
- Experience with Azure Migrate, Azure Database Migration Service, and other Azure migration tools.
- Familiarity with monitoring and logging tools such as Azure Monitor, Application Insights, Log Analytics.
- Experience working in enterprise multi-subscription environments.
Travel Requirements
Up to 20%
Job Posting End Date
