IN_Associate_ GenAI and Agentic AI Engineer _GCC_ Advisory_ Noida

Associate – Data and Analytics Engineering

Line of Service: Advisory Industry/Sector: Not Applicable Specialism: Operations Management Level: Associate

About the Role

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.

Why PwC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our 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 for each other.

PwC is an equal opportunities employer 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. We have zero tolerance for any discrimination and harassment.

Responsibilities

• Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks
• Develop and optimize RAG systems for improved information retrieval and response generation
• Create robust evaluation frameworks for testing agent performance and safety
• Implement monitoring and logging systems for agent behavior
• Develop documentation and best practices for agent development
• Contribute to the improvement of agent architecture and capabilities

Required Experience

• Building and deploying autonomous agents
• LangChain framework for developing applications
• Retrieval Augmented Generation (RAG) systems
• Large Language Models (LLMs) and their APIs
• Solid understanding of safety principles and best practices
• Resolving hallucinations in the outcomes

Mandatory Skills

• Advanced Python programming with expertise in async programming and API development
• Experience with vector databases and embedding models
• Proficiency in implementing RAG pipelines and knowledge retrieval systems
• Familiarity with prompt engineering and LLM optimization techniques
• Experience with development frameworks and tools
• Knowledge of modern software development practices (Git, CI/CD, testing)
• Pega BPM

Preferred Skills

• Multiple LLM providers (OpenAI, Anthropic, etc.)
• Tools for agent orchestration and workflow management
• Natural Language Processing (NLP) techniques
• Container technologies (Docker, Kubernetes)
• Understanding of semantic search and information retrieval concepts
• Knowledge of agent alignment and safety considerations

Requirements

Years of Experience: 1+ to 3+ years

Education:

• Bachelor of Technology
• Master of Business Administration
• Master of Technology
• MCA

Additional Information

Visa Sponsorship: No Government Clearance Required: No Job Posting End Date: July 6, 2026