23 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Diagnose and prioritize workflows where agentic AI can improve cost-to-serve, cycle time, throughput, revenue leakage, or total cost of ownership.
- Partner with CEOs, COOs, CDOs, CTOs, CISOs, CFOs, and business leaders to define value cases, delivery scope, adoption models, and measurable outcomes.
- Build rapid 0→1 prototypes and convert validated concepts into production systems.
- Design and implement multi-agent architectures with planner–executor patterns, agent handoffs, durable state, checkpointing, retries, cancellation, and human-in-the-loop escalation.
- Implement Model Context Protocol, agent-to-agent interoperability, model routing, fallback strategies, and hybrid pipelines across LLMs, SLMs, and traditional machine learning components.
- Design retrieval and knowledge solutions involving ingestion, chunking, embeddings, re-indexing, reranking, hybrid search, graph retrieval, knowledge graphs, semantic layers, and RAG evaluation.
- Lead account outcomes, architecture, governance, client experience, reliability, adoption, unit economics, and client self-sufficiency.
Requirements
- 10–14 years of professional experience.
- Bachelor’s or master’s degree in Computer Science, Engineering, or another quantitative discipline, or equivalent capability demonstrated through relevant work experience.
- Strong Python experience including typing, testing, packaging, and profiling, plus proficiency in at least one of TypeScript/Node.js, Go, or Java.
- Production experience with at least two agentic AI frameworks such as LangGraph, Claude Agent SDK, OpenAI Agents SDK, AutoGen, CrewAI, Semantic Kernel, or Pydantic AI.
- Experience designing ingestion and chunking systems, embedding lifecycles, re-indexing, reranking, hybrid or graph retrieval, and RAG evaluation.
- Preferred experience with Neo4j, GraphRAG, or equivalent knowledge graph, ontology, and semantic-layer technologies.
- Preferred experience delivering in Global Capability Center or global business services environments and in regulated, data-resident, or air-gapped environments.
- Preferred domain or process experience in BFSI, life sciences, energy, telecom, industrial products, S2P, O2C, R2R, claims, KYC/AML, or clinical operations.
- Process-mining or workflow-discovery experience using Celonis or equivalent is preferred.
- Open-source contributions, published technical writing, conference participation, or a nonlinear background such as technical founder, staff engineer, or production-focused consultant are preferred.
Benefits
- 50–70% onsite presence with possible travel across India, GCC hub cities, and client headquarters.
- PwC offers inclusive benefits, flexibility programmes, mentorship, wellbeing support, and opportunities for learning and career growth.
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.