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 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 Firms code of conduct, and independence requirements.
PwC seeks an experienced Senior Manager with deep expertise in Generative AI, Agentic AI architectures, and full-stack technology solutions. This strategic role involves designing, implementing, and managing advanced agent-based AI solutions and generative architectures integrated with modern web and API technologies. With 15+ years of experience, the ideal candidate will lead innovation, provide technical guidance, and ensure alignment with PwCs strategic digital transformation goals.
Key Responsibilities
Generative & Agentic AI Architecture
- Design and oversee the implementation of scalable, secure, and innovative Generative and Agentic AI solutions.
- Integrate advanced AI models, including Large Language Models (LLMs), NLP, ML algorithms, and Agentic design patterns, into enterprise platforms.
Full Stack & Integration Technologies
- Architect and oversee the development of comprehensive full-stack solutions including Web Apps, API integrations.
- Implement efficient API integration patterns and event-driven architectures for scalable data processing and interaction.
Technical Leadership
- Mentor and lead multidisciplinary teams, including AI specialists, data scientists, developers, and architects.
- Collaborate closely with business stakeholders to translate complex business requirements into sophisticated AI-driven technical solutions.
Innovation & Strategic Development
- Evaluate cutting-edge Generative AI, Agentic, and full-stack technologies, driving innovation and strategic advancements within PwC.
- Develop and implement a clear strategic roadmap for AI deployment, adoption, and digital transformation initiatives.
Optimization & Automation
- Develop and implement automated workflows, CI/CD pipelines, and AI operations frameworks (MLOps/LLMOps).
- Monitor and optimize performance, ensuring system scalability, reliability, and accuracy.
Compliance & Governance
- Ensure adherence to ethical AI practices, data privacy regulations, and governance frameworks.
- Maintain comprehensive documentation, compliance records, and disaster recovery strategies.
Required Skills & Experience
- Bachelor’s degree in Computer Science, AI/ML, Information Technology, or related fields (Master’s preferred).
- Minimum of 15+ years’ experience in AI, ML, enterprise architecture, and full-stack technologies, with significant experience in Generative and Agentic AI.
- Extensive knowledge of AI frameworks and platforms (TensorFlow, PyTorch, Langchain, Azure OpenAI, GPT models, Llama, etc.).
- Proven expertise in designing and deploying agent-based AI systems and architectures.
- Strong experience with full-stack technologies including WebApps, API integration patterns, Service Bus, and event-driven architectures.
- Proficiency in programming languages including Python, C#, JavaScript, and frameworks such as React.
- Strong cloud architecture experience, especially Azure (AWS/GCP knowledge desirable).
- Proficiency in PowerShell, Terraform, Kubernetes, Docker, and MLOps/LLMOps tools.
- Outstanding leadership, communication, mentoring, and collaboration abilities.
Preferred Qualifications
- Experience or familiarity with ArcGIS Enterprise and spatial data analytics.
- Certifications in AI solution architecture or cloud-based AI solutions (e.g., Azure AI Solutions Architect, AWS Certified Solutions Architect).
- Knowledge of DevOps practices and tools (Jenkins, Ansible, Kubernetes).
- Familiarity with additional platforms and technologies such as Datadog, Splunk, ServiceNow.
Professional And Educational Background
BE/B.Tech/M.Sc/M.E/M.Tech/PhD or equivalent professional experience in AI, technology, or related disciplines.