PwCPosted 1w ago

IN-Senior Manager_AI Architect _ GCC_ Advisory_ Chennai

IN-Senior Manager_AI Architect _ GCC_ Advisory_ Chennai at PwC scores 88 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.

Chennai - Menon EternityseniorFull time

AI in this role

langchainlanggraphhugging-facevertex-aipytorchtensorflowkerasmlflowsagemaker

ragfine-tuning

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

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 Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. 

Responsibilities

 Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining.

Design APIs for model inferencing at scale.

Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.

LLM Serving & GPU Architecture: Deep knowledge of GPU architectures, distributed training, and serving of large language models.

Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models.

 DevOps & LLMOps Proficiency: Expertise in Kubernetes, Docker, Container Orchestration, and LLM orchestration frameworks (Flowise, Langflow, Langgraph).

Mandatory skill sets:

Gen AI, LLM, Hugging Face

Python, PyTorch/TensorFlow/Keras

 Langchain, Langgraph

Docker, Kubernetes

Preferred skill sets:

 Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery

Cloud Knowledge: AWS, Azure, GCP

DevOps Tools: FluentD, Kibana, Grafana, Prometheus

Proficient in Python, SQL, JavaScript

Years of experience required:

11-15

Education Details

B.Tech / M.Tech / MBA / MCA

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP Business Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Influence, Intellectual Curiosity, Java (Programming Language) {+ 33 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

January 27, 2026

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

RagFine TuningLangChainLangGraphHugging FaceVertex AIPyTorchTensorFlow

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What are the limits of LangChain that you've run into, and how did you work around them?
What's a project where you used LangGraph hands-on?
Walk me through how you've used Hugging Face in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, Fine Tuning, LangChain, LangGraph, and Hugging Face. 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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