GenAI Architect - Manager

TymblHub; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC Hyderabad seeks a GenAI Architect - Manager to lead design and development of advanced data solutions, transforming raw data into actionable insights. You will guide analytics, deploy AI-driven workflows, manage data pipelines, and collaborate with client teams to drive data-driven growth.

The role emphasizes senior leadership in AI projects, multi-region deployments, and data engineering best practices within a client-focused environment.

Qualifications

• 3+ years of experience building and scaling Generative AI projects
• Experience implementing AI interoperability protocols (e.g., MCP, A2A) at scale
• Hands-on with enterprise cloud AI platforms (Azure/Bedrock/Vertex) for production deployments
• Proficient in Python and agentic AI frameworks (LangChain, CrewAI, AutoGen)
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and ML fundamentals

Responsibilities

• Lead design and development of advanced data solutions to turn raw data into insights
• Guide teams in advanced analytics and statistical techniques for data-driven decisions
• Utilize machine learning and AI to enhance data workflows and predictive modeling
• Develop data pipelines and data lakes to support complex analysis
• Oversee data visualizations to inform strategic decisions
• Collaborate with clients to identify data-driven growth opportunities
• Mentor team members to advance data science and analytics skills
• Validate data quality and integrity within analytics frameworks
• Promote adoption of innovative technologies and best practices in data engineering
• Address and resolve client and team issues to maintain timelines

Skills

Generative AI

LLMs

Python

Data Engineering

MLOps

Cloud Platforms

Tools

LangChain

LangGraph

Kubernetes

Docker

Azure AI Foundry

Google Vertex AI

Amazon Bedrock

Job description

# GenAI Architect - ManagerPwCPosted on October 3, 2026---Experience8 - 13 yrsJob LocationHyderabad, IndiaVacancy1DesignationManager ArchitectJob TypeNot specified---## Job Description**Role & responsibilities**- 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 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.**Preferred candidate profile****Perks and benefits**---### KeywordsRagLlm