Senior Manager - Process Mining & Data Analytics

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Bengaluru; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

PwC Bengaluru is seeking a Senior Associate AI Engineer in Advisory to design, develop and deploy advanced AI/ML solutions for enterprise clients. You will work within Data, Analytics & AI initiatives to generate actionable insights and drive business value for customers.

The role emphasizes Generative AI, RAG, vector databases, and MLOps, with collaboration across data engineers, software developers, and business stakeholders to ensure scalable, secure AI deployments and ongoing innovation.

Qualifications

• 4–8 years of experience in AI engineering or data analytics roles.
• Bachelor/Master degrees as listed: B.Tech/M.Tech/MBA/MCA.
• Strong knowledge of AI, ML, data analytics, and enterprise AI transformations.

Responsibilities

• Design, develop, and deploy AI/ML models for business use cases.
• Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.
• Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.
• Fine-tune and evaluate foundation models for domain-specific applications.
• Collaborate with data engineers, software developers, and business stakeholders to define AI solutions.
• Implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Build APIs and microservices for AI model integration.
• Ensure model performance, scalability, security, and reliability.
• Stay updated with emerging AI technologies and best practices.

Skills

Generative AI

LLMs

RAG

Vector databases

AI agents

Workflow automation

Autonomous systems

Enterprise AI

Education

B.Tech / M.Tech / MBA / MCA

Job description

IN_Senior Associate_ AI Engineer_ GCC_ Advisory_ Bangalore Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate

Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. 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, develop, and deploy AI/ML models for business use cases.
• Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.
• Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.
• Fine-tune and evaluate foundation models for domain-specific applications.
• Collaborate with data engineers, software developers, and business stakeholders to define AI solutions.
• Implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Build APIs and microservices for AI model integration.
• Ensure model performance, scalability, security, and reliability.
• Stay updated with emerging AI technologies and recommend best practices.

Mandatory skill sets:

• Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.
• Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.

Preferred skill sets:

• Knowledge of AI agents, workflow automation, and autonomous systems.
• Experience working in large-scale enterprise AI transformation projects.

Years of experience required: 4-8

Education Details B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills Artificial Intelligence (AI) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 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 April 8, 2026 Experience Level Senior Level