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PwC Service Delivery Center
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IN-Senior Associate_Agentic AI & Gen AI _Data and Analytics

IN-Senior Associate_Agentic AI & Gen AI _Data and Analytics

PwC Service Delivery Center

3 - 8 years

5 - 10 Lacs

bengaluru

Posted:4 hours ago| Platform:

Apply

Skills Required

erp data modeling bfsi database administration agile healthcare apache business intelligence crm python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

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.

& 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 Finetune 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 multistep reasoning, tool use, and goaldriven 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 Handson experience with cloudnative 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 multiagent systems Excellent communication and stakeholder management skills across geographies

Preferred skill sets Certifications in cloud platforms and AI technologies Exposure to enterprisegrade 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

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

Degrees/Field of Study preferred

Required Skills

Generative AI

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}

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IN-Senior Associate_Agentic AI & Gen AI _Data and Analytics