Senior Associate – Agentic Pipeline Engineer, Advisory

Overview

Design, develop, and operationalize AI-driven pipelines and agentic workflows, building intelligent multi-step workflows in which AI agents reason, interact with enterprise systems, use tools and APIs, retrieve relevant information, and execute tasks reliably.

What you'll do

• Design and develop Agentic AI pipelines and workflows using Large Language Models (LLMs).
• Build single-agent and multi-agent solutions for complex business use cases.
• Develop reusable components for tool calling, orchestration, prompt management, memory, routing, and workflow execution.
• Implement RAG (Retrieval-Augmented Generation) pipelines integrating enterprise data sources with LLM applications.
• Integrate agents with REST APIs, databases, vector stores, enterprise applications, and external tools.
• Build scalable backend services and APIs using Python and frameworks such as FastAPI.
• Work with agentic frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent frameworks.
• Develop and optimize embedding, retrieval, chunking, reranking, and vector-search pipelines.
• Implement appropriate guardrails, validation, error handling, observability, logging, and evaluation for GenAI applications.
• Optimize agent workflows for accuracy, latency, reliability, and cost.
• Containerize and deploy AI services using Docker and CI/CD practices.
• Collaborate with architects, engineering teams, data scientists, and business stakeholders to translate use cases into production-ready Agentic AI solutions.
• Perform unit testing, integration testing, troubleshooting, and production support for AI pipelines.

What you'll need

• Strong programming experience in Python.
• Hands-on understanding of Generative AI and Large Language Models.
• Experience developing LLM-based applications and agentic workflows.
• Knowledge of frameworks such as LangChain, LangGraph, Microsoft Semantic Kernel, AutoGen, or similar agent frameworks.
• Strong understanding of RAG architecture and vector-based retrieval.
• Experience with Vector Databases / Search, such as FAISS, Pinecone, Weaviate, Chroma, Azure AI Search, or equivalent.
• Experience integrating REST APIs, databases, and enterprise applications.
• Knowledge of prompt engineering, tool/function calling, structured outputs, embeddings, and context management.
• Experience with Git, Docker, CI/CD, and API development.
• Exposure to at least one major cloud platform such as Azure, AWS, or GCP.
• 3–7 years of software engineering / AI engineering experience.
• Education: BE / B.Tech / M.Tech / MCA; degree required: MBA (Master of Business Administration) or Bachelor of Engineering.

Nice to have

• Exposure to Internal Developer Platforms (IDP).
• Experience with service mesh (Istio).
• Knowledge of multi-cloud deployment (AWS/Azure/GCP).
• Exposure to agentic UX patterns.
• Familiarity with AI orchestration tools.
• Hands-on experience with agentic AI systems in production.
• Experience with tools like Claude, Cursor.
• Deep experience with agentic frameworks (LangGraph, CrewAI, etc.).
• Exposure to full-stack AI applications.
• Certifications: AWS Developer / Solutions Architect; Kubernetes Certification (CKA/CKAD); AWS or Azure AI Certifications.

Details

• Location: Bengaluru Millenia.
• Employment with PwC Advisory, Senior Associate level, Operations specialism, FS X-Sector industry.
• Visa sponsorship: No.
• Government clearance required: No.
• Job posting end date: August 7, 2026.