IN_Senior Manager_AI Architect_Data And Analytics_ Advisory_ Chennai

PwC India; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC India is seeking a Senior Manager in Data, Analytics & AI to lead data governance, quality assurance, and data integration efforts. You will drive decision-support through advanced analytics and responsible data management, partnering with Advisory services to deliver value to clients.

The role emphasizes designing scalable ML pipelines, MLOps processes, and governance controls to ensure data reliability and insightful business outcomes. Strong leadership and technical scope are essential.

Qualifications

• Experience: 11-15 years in data, analytics or AI roles.
• Educational background: BTech / MTech / MBA / MCA; Bachelor of Technology.
• Hands-on with GenAI, LLMs, Python and ML frameworks.

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, VertexAI, and AzureAI.
• LLM Serving & GPUArchitecture: Deep knowledge of GPUarchitectures, 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).

Skills

GenAI, LLM, Hugging Face

Python

Langchain

Langgraph

Education

Bachelor of Technology

Tools

MLflow

SageMaker

VertexAI

AzureAI

Kubernetes

Docker

Container Orchestration

Flowise

Langflow

Langgraph

Job description

Job Description:

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 management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems.

Why PWC

At PwC, 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

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, VertexAI, and AzureAI.
• LLM Serving & GPUArchitecture: Deep knowledge of GPUarchitectures, 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:

• GenAI, 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 Qualification

B.Tech / M.Tech / MBA / MCA

Education

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

Degrees/Field of Study required: Bachelor of Technology

Certifications

(if blank, certifications not specified)

Required Skills

Playwright

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Creativity, Database Administration, Database Management System (DBMS), Database Performance Management, Database Quality Assurance, Database Troubleshooting, Data Error Checking, Data Integrity, Data Management, Data Management Plan (DMP), Data Management Platform (DMP), Data Profiling, Data Quality, Data Quality Assessment, Data Quality Assurance Testing, Data Quality Automation, Data Quality Improvement Plans (DQIP), Data Science Troubleshooting, Data Warehousing Quality Assurance {+ 23 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

September 3, 2026