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 a Deals Advisory - AI Engineer, you will join our AI Research team, contributing to the development of model benchmarking and experimentation capabilities that drive AI delivery for PwC and its clients. Within our Forensic Technology practice, you will play a pivotal role in building and evolving AI benchmarking platforms, enabling robust model evaluation and influencing technical strategy across projects.

Your work will involve designing end-to-end benchmarking workflows, generating insights, and developing scalable evaluation frameworks. As a Senior Associate, you will leverage your skills to analyze complex problems and mentor junior team members. You will focus on building meaningful client relationships and developing a deeper understanding of the business context.

Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward is unclear. In this role at PwC Acceleration Center India, you will thrive in a collaborative setting that values curiosity and practical problem-solving.

You will be responsible for maintaining and improving experimentation infrastructure,



producing client-ready insights, and supporting technical demos.

Responsibilities Developing and evolving AI benchmarking and experimentation platforms to support model evaluation

Designing and executing end-to-end benchmarking workflows to generate actionable insights for client use cases

Building scalable evaluation frameworks and metrics by integrating hands-on engineering with academic research

Maintaining and enhancing experimentation infrastructure to support robust and production-grade engineering

Producing clear insights and supporting technical demonstrations and deep dive sessions for clients

Utilizing Python for asynchronous programming, multithreading, and writing maintainable code

Building automated testing pipelines to assess model performance effectively

Deploying machine learning workloads to cloud platforms such as Azure, AWS, or GCP

Implementing CI/CD processes and containerization using Docker or Podman

Applying knowledge of large language models (LLMs) and utilizing APIs for LLMs like Azure and OpenAI

Conducting market analysis and data analytics to inform AI model selection and technical strategy

Collaborating with forensic technology teams to address fraud, investigations, and regulatory enforcement challenges What You Must Have At least a Bachelor's degree

At least 3-7 years of experience

Oral and written proficiency in English required What Sets You Apart Applying knowledge of statistics and experimental design

Utilizing LLM Evaluation techniques, including LLM-as-a-Judge

Demonstrating analytical thinking and data analytics skills

Engaging in cybersecurity and market analysis

Building scalable AI research infrastructure

Developing frameworks for AI model benchmarking

Thriving in fast-paced, collaborative environments

📌 Deals Advisory - AI Engineer (MBH)- Senior Associate (Bengaluru)
🏢 PwC Acceleration Center India
📍 Bengaluru