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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations 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:

Gen AI · Architect and implement GenAI solutions using LLMs (e.g., GPT, Claude, Gemini) for tasks like summarization, code generation, document intelligence, and conversational AI · Fine-tune and optimize models using frameworks like Hugging Face, LangChain, and OpenAI APIs · Integrate GenAI capabilities into enterprise platforms (CRM, ERP, knowledge bases) Agentic AI Development · Design and deploy autonomous AI agents capable of multi-step reasoning, tool use, and goal-driven execution · Build agentic workflows using frameworks such as AutoGen, CrewAI, LangGraph, and Semantic Kernel · Enable agents to interact with APIs, databases, and external tools securely and reliably Cloud & Infrastructure · Develop scalable AI pipelines on cloud platforms (Azure, AWS, GCP) using Kubernetes, serverless, and containerized environments · Implement MLOps practices for continuous integration, monitoring, and governance of AI systems Client Engagement · Collaborate with global stakeholders to define AI use cases, success metrics, and delivery roadmaps · Lead offshore delivery teams and ensure alignment with client expectations and timelines · Contribute to reusable assets, accelerators, and internal capability building

Mandatory skill sets:

· 3+ years of experience in AI/ML engineering, with 2+ years in GenAI and/or Agentic AI · Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks · Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI) · Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering · Strong understanding of autonomous agents, orchestration, and multi-agent systems · Excellent communication and stakeholder management skills across geographies

Preferred skill sets: · Certifications in cloud platforms and AI technologies · Exposure to enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing · Knowledge of Responsible AI, data governance, and compliance frameworks

Years of experience required:

3 to 12 years

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 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