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Bengaluru, Karnataka, India
Hybrid
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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.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 Technology, MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Artificial Intelligence (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 Development, 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
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
August 12, 2026