IN_Senior Associate_Agentic Pipeline_GCC_Advisory_Bangalore

PwC India; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

PwC India is seeking an experienced Agentic Pipeline Engineer to design, develop, and operationalize AI-driven pipelines and agentic workflows. You will work with Python, Generative AI, LLM applications, and cloud-based AI solutions, applying production-grade software engineering practices.

The role focuses on building intelligent multi-step workflows where AI agents reason, interact with enterprise systems, use tools and APIs, retrieve information, and execute tasks reliably, with strong

Qualifications

• 3–7 years of software engineering / AI engineering experience.
• Strong programming experience in Python.
• Hands‑on understanding of Generative AI and Large Language Models.
• Experience developing LLM-based applications and agentic workflows.
• Strong understanding of RAG architecture and vector-based retrieval.
• Experience with Vector Databases / Search (FAISS, Pinecone, Weaviate, Chroma, Azure AI Search).
• Experience integrating REST APIs, databases, and enterprise applications.

Responsibilities

• 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, memory, routing, and workflow execution.
• Implement Retrieval-Augmented Generation (RAG) pipelines with enterprise data sources and LLMs.
• 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 equivalents.
• Develop and optimize embedding, retrieval, chunking, reranking, and vector-search pipelines.
• Implement guardrails, validation, error handling, observability, logging, and evaluation for GenAI apps.
• Optimize agent workflows for accuracy, latency, reliability, and cost.
• Containerize and deploy AI services using Docker and CI/CD practices.

Skills

Python

Generative AI

LLM applications

RAG architecture

Vector databases

REST APIs

Prompt engineering

Education

Bachelor of Engineering

MBA

Tools

FAISS

Pinecone

Weaviate

Chroma

Azure AI Search

Job description

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more

about us

AtPwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Summary

We are looking for an experienced Agentic Pipeline Engineer to design, develop, and operationalize AI-driven pipelines and agentic workflows. The ideal candidate will have strong hands-on experience in Python, Generative AI, LLM applications, agent frameworks, APIs, and cloud-based AI solutions, along with a good understanding of production‑grade software engineering practices.

The role involves building intelligent multi‑step workflows where AI agents can reason, interact with enterprise systems, use tools/APIs, retrieve relevant information, and execute tasks reliably.

Responsibilities

• 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.

Mandatory skill sets

• 3–7 years of software engineering / AI engineering experience.
• Strong programming experience in Python.
• Hands‑on understanding of Generative AI and Large Language Models.
• Experience developing LLM‑based applications and agentic workflows.
• 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.

Preferred skill sets

Knowledge of frameworks such as:

LangGraph

Microsoft Semantic Kernel

AutoGen or similar agent frameworks

Experience with Git, Docker, CI/CD, and API development.

Exposure to at least one major cloud platform such as Azure, AWS, or GCP.

Years of experience required:

3+ to 7

Location :

Pan India

Bachelor’s degree in Computer Science, Engineering, or a related field

Education

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration)

Certifications

(if blank, certifications not specified)

Required Skills

Agentic AI, Generative AI Agents

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI‑Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}

Desired Languages

(If blank, desired languages not specified)