IN_Senior Associate_ AI Engineer_GCC_Advisory_Bangalore
AI in this role
Line of Service
AdvisoryIndustry/Sector
FS X-SectorSpecialism
OperationsManagement Level
Senior AssociateJob 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
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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 Decription and Summary
We are seeking a passionate and skilled AI Engineer with 2–5 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:
Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.
Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).
Write clean, efficient, and scalable code in Python (or other languages as needed).
Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems.
Ensure system scalability, reliability, and maintainability through strong software engineering practices.
Required Qualifications:
2–5 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 Qualifications :
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
Why Join Us?
Work with cutting-edge GenAI and agentic AI tools.
Contribute to real-world, scalable AI solutions.
Opportunity to innovate and build next-gen intelligent systems.
Collaborative, growth-oriented environment.
Mandatory Skill sets:
GenAI and Agentic AI
Preferred Skill sets:
GenAI and Agentic AI
Years of Experience Required:
4 to 7yrs
Education Qualification:
BE/Btech/MCA/Mtech/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Agentic AIOptional 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
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
September 15, 2026How we score this
IN_Senior Associate_ AI Engineer_GCC_Advisory_Bangalore at PwC scores 97 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a workflow you automated with AI tools, end to end.
- What's a project where you used OpenAI hands-on?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, Rag, AI Automation, OpenAI, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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