Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Operations

Management Level

Senior Associate

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.

*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. Learn more 

about us

.

At PwC, 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 seeking a passionate and skilled AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. 

 Responsibilities: 

• Must have :  Proficient in Playwright with Typescript/Javascript/Python. 

• Must have : Practical implementation of AI in STLC 

• Must have : Experience in validating non-deterministic response validation / AI Model Testing 

• Strong programming skills 

• Experience designing, developing, and maintaining test automation frameworks from scratch or improving existing ones. 

• Solid understanding of software testing lifecycle, types of testing (functional, regression, integration), and Agile methodology. 

• Experience with Continuous Integration tools like Jenkins, GitLab CI, Azure DevOps, or similar. 

• Knowledge of version control systems (e.g., Git). 

• Strong problem-solving skills with attention to detail. 

• Excellent communication and collaboration skills.  

  

Mandatory skill sets: 

• 3–7 years of total experience in AI/ML or software engineering. 

• Minimum 2 years of hands-on experience in building and deploying GenAI systems. 

• Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc. 

• Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. 

• Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). 

• Solid understanding of software engineering best practices, including version control, testing, and CI/CD. 

• Experience in working with graph-based memory and LLM tool use patterns. 

  

Preferred skill sets: 

• Experience with tool-using agents, memory-augmented architectures, or cognitive architectures. 

• Prior contributions to open-source GenAI or agent frameworks.  

• Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services.  

• Background in optimization, evaluation, and prompt engineering for LLM systems.  

• Experience in deploying AI systems in production environments and maintaining performance at scale 

 

Years of experience required: 3+ to 7 

Location : Pan India 

Education qualification: 

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

Education (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative 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)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

August 7, 2026