Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in finance consulting specialise in providing consulting services related to financial management and strategy. These individuals analyse client needs, develop financial solutions, and offer guidance and support to help clients optimise their financial performance, improve decision-making, and achieve their financial goals.

In financial operations at PwC, you will specialise in improving the efficiency and effectiveness of financial operations within organisations. Your work will involve assessing financial processes, identify areas for improvement, and design and implement solutions to streamline financial operations, enhance controls, and reduce costs. You will be responsible for providing guidance on financial systems implementation, process automation, and financial shared services.

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.

Job Descriptions – AI Solution Lead & Agentic AI / Automation Engineers

JD #1 – AI Solution Lead (Data Scientist / Agentic AI Architect)

Role Overview

The AI Solution Lead will spearhead the design, architecture, and deployment of intelligent automation and GenAI solutions that enhance PwC Managed Services delivery across Finance and ERP AMS (Oracle & SAP). This role combines applied AI, data science, and automation engineering to transform service delivery through LLM-powered agents, RAG workflows, and predictive insights.

Key Responsibilities

• Design end-to-end AI solution architectures for Finance Ops and ERP AMS processes.
• Develop LLM and agentic workflows using LangChain, AutoGen, CrewAI, or Semantic Kernel.
• Lead RAG pipelines and embedding design using Pinecone, Chroma, or FAISS.
• Integrate AI solutions with Oracle, SAP, and Finance Ops systems via APIs and OIC.
• Build and optimize prompt chains for autonomous agents, ensuring governance and auditability.
• Define reusability frameworks and common components for MS AI Factory.
• Collaborate with Finance and ERP SMEs to translate business pain points into AI use cases.
• Lead a small team of AI engineers to prototype and deploy solutions in 6-week sprints.

Required Technical Skills

• Advanced Python with LLM frameworks (LangChain, CrewAI, AutoGen).
• Strong experience in LLM APIs (OpenAI, Anthropic, Gemini, Mistral).
• Familiarity with Finance data models and ERP (Oracle / SAP).
• Vector databases, RAG patterns, and LLM fine-tuning.
• Cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex).
• CI/CD automation (GitHub Actions, Docker, Kubernetes).

Preferred Experience

• 8–12 years in AI/ML and automation.
• Delivered AI solutions in Managed Services or ERP operations.
• Experience leading cross-functional AI projects from POC to production.

Education

B.Tech / M.Tech / MS in Computer Science, AI, or Data Science; AI/ML certifications preferred.

Travel Requirements

Not Specified

Job Posting End Date