Line of Service

AdvisoryIndustry/Sector

Not ApplicableSpecialism

Data, Analytics & AIManagement Level

Manager & 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.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 workplace 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. "

Responsibilities

- We are seeking a highly skilled Technical AI Business Analyst with deep expertise in Generative AI application frameworks and hands-on experience in Claude skill creation. This role bridges business needs with advanced AI solutions,



ensuring successful implementation of cutting-edge AI systems across enterprise workflows. The ideal candidate combines strong analytical and stakeholder management skills with technical fluency in LLM architectures, orchestration frameworks, and evaluation methodologies.
- GenAI Frameworks: Drive AI application design and implementation using LangChain, LangGraph, and related orchestration tools.

- Claude Skill Creation: Design, configure, and optimize Claude-based skills tailored to business use cases.

- LLM Selection: Evaluate and recommend appropriate LLMs based on task requirements, performance metrics, and scalability.

- Model Understanding: Apply deep knowledge of Transformer architecture, encoder-decoder fundamentals, and fine-tuning techniques (full fine-tuning, PEFT, LoRA, QLoRA).

- Evaluation Metrics: Define and track model performance using Precision, Recall, F1-score, and other relevant KPIs.

- RAG Pipelines: Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise-grade AI solutions.

- Hallucination Mitigation: Identify, analyze, and implement techniques to reduce hallucinations in AI outputs.

- Agentic AI: Design and orchestrate multi-agent AI systems for complex workflows.

- Stakeholder Management: Collaborate with cross-functional teams, translating business requirements into technical AI solutions and ensuring alignment across stakeholders.

- Technical User Stories: Write clear, detailed, and implementation-ready user stories, acceptance criteria, and workflows for AI-driven features.

- Architecture Documentation: Create clear technical documentation, workflows,



and architecture diagrams for AI implementations.

- Must-Have Skills

Mandatory Skill sets:

- Strong expertise in Generative AI concepts and Claude skill creation.

- Hands-on experience with LangChain, LangGraph, RAG pipelines, and agentic AI orchestration.

- Deep understanding of LLM architectures, fine-tuning methods, and evaluation metrics.

- Ability to design AI pipelines and architectures with focus on scalability and reliability.

- Excellent stakeholder management and communication skills to bridge technical and business teams.

- Proven ability to write technical user stories and translate complex AI concepts into actionable development tasks.

Preferred Skill sets:

- Experience with vector databases and knowledge retrieval systems.

- Familiarity with cloud-native AI deployments (Azure, AWS, GCP).

- Exposure to AI governance, compliance, and ethical frameworks.

- Prior experience in enterprise AI product implementation.

Years of Experience required:

5 to 10

Education qualification:

BE/B.Tech/ /MCA/Mtech

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

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

Required Skills

Java (Programming Language)Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity {+ 46 more}Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date

September 15, 2026

📌 IN_Manager_Technical AI Business Analyst_GCC_Advisory_Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru