Job Description
Agentic AI & GenAI Solution Leadership
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- Solution Architecture – Own end-to-end AI solution architectures for Finance Ops and ERP AMS processes, from use-case shaping through production.n
- Agentic Design – Direct the design of LLM and agentic workflows using LangChain, AutoGen, CrewAI, and Semantic Kernel — planning, tool use, memory, and human-in-the-loop controls.n
- RAG & Retrieval – Govern RAG pipelines and embedding design using vector stores such as Pinecone, Chroma, or FAISS to deliver contextual, grounded intelligence.n
- Prompt & Agent Standards – Set standards for prompt chains and autonomous-agent behavior, ensuring accuracy, governance, and auditability.n

nERP & Finance Integration
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- Integration – Oversee integration of AI solutions with Oracle, SAP, and Finance Ops systems via APIs and OIC.n
- AMS Automation – Direct automation of ticket triage, reporting, and communication drafts for AMS teams to reduce manual effort and improve speed and accuracy.n




- Domain Alignment – Bring working knowledge of Finance data models and ERP processes to ground solution design in domain reality.n

nTeam Leadership & Delivery
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- People Leadership – Lead, mentor, and grow a team of AI Solution Leads and Agentic AI / Automation Engineers — setting explicit goals, KPIs, and career-development plans.n
- Delivery Management – Run delivery in short (≈6-week) sprints, taking solutions from prototype to production while managing timelines, risks, quality, and client SLAs.n
- Coaching – Coach the team on emerging GenAI and agentic techniques; foster a culture of rapid prototyping, experimentation, and continuous learning.n
- Cross-Functional Lead – Lead cross-functional AI projects from POC to production, balancing hands-on technical input with delivery oversight.n

nMS AI Factory & Reusability
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- Reusable Assets – Define reusability frameworks and common components for the MS AI Factory to accelerate delivery across enga

📌 Agentic AI (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru