PwC
LLM Engineer - Manager
India · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As an LLM Engineer you will lead the design and delivery of AI solutions that turn data into practical business insights, with focus on model development, solution integration, and client-focused problem solving within our Data and Analytics Engineering practice. As a Manager you will motivate teams, coach junior professionals, and guide delivery across workstreams while bringing business judgment, accountability, and integrity to each stage of the engagement. In this role at PwC Acceleration Center India, you will help develop, test, and refine language model capabilities, collaborate across data science and engineering functions, and support the creation of intelligent solutions that address complex client needs.
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Responsibilities
- Leading LLM engineering workstreams that apply machine learning, deep learning, and natural language processing to client problems
- Managing project plans, timelines, budgets, and deliverables across data science and AI initiatives
- Guiding teams in designing, training, testing, and tuning language models for use cases such as classification, summarization, retrieval, and generation
- Reviewing model outputs, data pipelines, and evaluation results to identify issues, improve performance, and strengthen solution reliability
- Applying data modeling, data quality, and statistical analysis methods to support exploratory analysis and predictive modeling
- Coordinating development activities across programming languages, AI tooling, and cloud-based analytics platforms
- Mentoring team members on data science workflows, model troubleshooting, and applied AI methods
- Building client-facing relationships to gather requirements, explain technical tradeoffs, and translate business needs into practical AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating hands-on LLM engineering using Python, SQL, or cloud tools
- Applying machine learning, deep learning, or natural language processing
- Managing client-facing AI delivery workstreams and project timelines
- Mentoring junior team members through code reviews and feedback
- Translating complex analytics into business-focused recommendations
Travel Requirements
Not Specified
Job Posting End Date
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At a glance
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.