Data Scientist Manager - Generative AI

PwC; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 350,000 - 650,000; Full time

Job summary

PwC Hyderabad is seeking a senior AI architect to lead design and development of data solutions for actionable insights. You will guide teams in analytics, ML workflows, and predictive modeling across multi-region deployments.

The role requires deep expertise in AI interoperability, cloud AI platforms, and containerized, scalable architectures. Strong Python and data engineering foundations are essential.

Qualifications

• At least a Bachelor's & Master’s degree.
• Oral and written proficiency in English.

Responsibilities

• Leading the design and development of advanced data solutions.
• Guiding teams in leveraging advanced analytics and statistical techniques.
• Utilizing machine learning to enhance data science workflows and predictive modeling.
• Developing and implementing data pipelines and data lakes.
• Overseeing the creation of data visualizations to inform strategic decisions.
• Collaborating with client teams to identify opportunities for data-driven growth.
• Mentoring team members to develop data science skills.
• Validating data quality and integrity within analytics frameworks.
• Encouraging adoption of innovative technologies and leading practices in data engineering.
• Addressing and resolving conflicts or issues to maintain timelines and deliverables.

Skills

Generative AI scaling

AI interoperability protocols

LangChain ecosystem

LangGraph

CrewAI

AutoGen

Python programming

LLM security

Kubernetes

Docker

Education

Bachelor’s and Master’s degree

Tools

Azure AI Foundry

Amazon Bedrock

Google Vertex AI

LangChain

LangGraph

CrewAI

AutoGen

Kubernetes

Docker

Job description

• - Leading the design and development of advanced data solutions to transform raw data into actionable insights
• - Guiding teams in leveraging advanced analytics and statistical techniques for data-driven decision making
• - Utilizing machine learning and artificial intelligence to enhance data science workflows and predictive modeling
• - Developing and implementing data pipelines and data lakes to support complex data analysis
• - Overseeing the creation of data visualizations to solve complex business problems and inform strategic decisions
• - Collaborating with client teams to identify opportunities for data-driven growth and innovation
• - Mentoring team members to develop their skills in data science and analytics
• - Validating data quality and integrity within analytics frameworks
• - Encouraging the adoption of innovative technologies and leading practices in data engineering
• - Addressing and resolving conflicts or issues with clients and team members to maintain project timelines and deliverables

What You Must Have

• - At least a Bachelor's & Master's degree
• - At least 8 years of experience
• - Oral and written proficiency in English required

What Sets You Apart

• - Over 3 years of experience in developing and scaling Generative AI projects from prototypes to enterprise production, managing throughput, latency, cost, and multi-region deployments.
• - Proven expertise implementing AI interoperability protocols like MCP (Model Context Protocol) and A2A (Agent-to Agent) at scale for seamless system integration.
• - Skilled in using enterprise cloud AI platforms such as Azure AI Foundry, Amazon Bedrock, and Google Vertex AI to build and deploy production-grade agentic AI solutions.
• - Advanced Python programming skills and hands-on experience with agentic AI frameworks including LangChain, LangGraph, CrewAI, and AutoGen for building robust generative AI applications.
• - Deep understanding of advanced Retrieval
• - Augmented Generation (RAG) architectures (Graph RAG, Vectorless RAG, Hybrid RAG) and traditional AI/ML fundamentals like model building, fine-tuning, and evaluation.
• - Strong knowledge of LLM security risksprompt injection, jailbreaking, data exfiltration, tool misuse—and experience designing defense-in-depth safeguards within agentic system architectures.
• - Expertise in containerization and cloud-native orchestration (Kubernetes, Docker, serverless) and event-driven architectures for scalable deployment of agentic AI workloads; holds relevant AI or solution architecture certifications.