Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Risk

Management Level

Associate

Job Description & Summary

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.

Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth.

*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:

PwC India is a leading professional services firm helping various organizations solve complex problems. Our Advisory - Risk Consulting teams combine deep industry expertise to provide end-to-end solutions that drive business transformation, resilience, and providing sustained outcomes.

At PwC, you’ll join a values-driven, inclusive culture that prioritizes innovation, learning, and flexibility. We invest in your growth through mentorship, leadership development,



and exposure to marquee projects across industries. With a strong focus on technology adoption—including AI-driven solutions and advanced data visualization—you will have the opportunity to act as a thought leader, collaborate with global teams, and make a tangible impact on clients and society

Role Summary:

We are seeking a dynamic and experienced AI Architect / AI Senior Associate to join PwC’s AI & Data practice. This is a client‑facing role requiring close collaboration with business and technology stakeholders to design, implement, and scale AI solutions. The role involves end‑to‑end ownership of AI solutioning, technical leadership, and delivery excellence while reporting to a Manager or Senior Manager.

Responsibilities

PwC Professional skills and responsibilities for this management level include but are not limited to:

AI Solution Delivery & Architecture

- Lead end‑to‑end design and delivery of AI solutions across Machine Learning, Generative AI, and Agentic AI

- Define AI solution architectures leveraging microservices and event‑driven architectures

- Design, evaluate, and optimize ML models to meet business and performance objectives

- Drive prompt engineering strategies for scalable and reliable GenAI implementations

- Implement and operationalize MLOps pipelines for model deployment, monitoring, and lifecycle management

- Leverage multiple cloud platform for AI solution development and deployment

Generative AI & Advanced AI Capabilities

- Build GenAI solutions using LangChain, LlamaIndex, and OpenAI APIs

- Design and integrate vector databases such as FAISS, Pinecone, and Weaviate

- Develop agentic AI workflows to enable autonomous and semi‑autonomous systems

- Evaluate model performance, cost, latency, and scalability tradeoffs

AI Strategy, Governance & Responsible AI

- Support clients in defining AI strategy, roadmaps, and value realization

- Embed AI governance and Responsible AI practices into solution design and delivery

- Ensure compliance with risk, ethics, and regulatory considerations across AI use cases

- Drive change management and adoption of AI solutions within client organizations

Client & Stakeholder Management

- Serve as a trusted AI advisor to client stakeholders

- Translate business problems into AI‑driven solution approaches

- Communicate complex technical concepts to non‑technical audiences effectively

- Support leadership in solutioning, proposals, and RFP responses





Team Leadership & Collaboration

- Provide technical leadership to cross‑functional delivery teams

- Mentor and coach junior team members on AI, ML, and GenAI concepts

- Collaborate across engineering, data, product, and business teams

- Promote a culture of innovation, learning, and continuous improvement

Mandatory skill sets:

Technical Skills

- Machine Learning, Generative AI, Agentic AI

- Prompt Engineering

- AI Strategy and Solution Architecture

- Model Evaluation & Optimization

- MLOps & Model Deployment

- Microservices & Event‑Driven Architecture

- Cloud Platforms

- LangChain, LlamaIndex, OpenAI APIs

- Vector Databases: FAISS, Pinecone, Weaviate

Leadership & Consulting Skills

- Technical leadership and solution ownership

- Client engagement & stakeholder management

- Cross‑functional collaboration

- Team mentorship & coaching

- Strong analytical thinking and problem‑solving

- Effective communication and change management

- Ability to estimate AI solution costs and articulate cost drivers

- Strong understanding of AI enablement needs (data, cloud, MLOps, governance, skills)

- Experience supporting business cases, ROI discussions, and solution feasibility assessments

- Capability to translate technical designs into client friendly cost and enablement narratives

- Preferred skill sets:

Preferred / Valuable-to-have skills:

- Experience in consulting or professional services environments

- GCP/Vertex AI / Data / Cloud certifications

- Exposure to enterprise‑scale AI transformations

Years of experience required:

5-8 years of experience

Education qualification:

B.E./B.Tech / M.Tech / MCA / MBA (Technology) or equivalent

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

Degrees/Field of Study required: MBA (Master of Business Administration), Chartered Accountant Diploma

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Internal Audit

Optional Skills

Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

June 10, 2026

📌 IN_Associate_ Internal Audit_Managed Services_Advisory_Bangalore (India)
🏢 Important Company of the Sector
📍 India