Generative AI Architect-Senior Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

PwC Acceleration Center India seeks a senior leader to drive Generative and Agentic AI initiatives across enterprise clients. You will shape data-driven strategies, guide multi-disciplinary teams, and deliver scalable AI solutions leveraging cutting-edge tools and frameworks.

You will partner with advisory, assurance, tax, and business services to translate complex AI concepts into actionable roadmaps, manage client engagements, and ensure production-grade delivery with governance and

Qualifications

• Bachelor's and master's degree in CS, Data Science, or related field.
• 12+ years in technical/technology roles.
• Fluent English (oral and written) required.

Responsibilities

• Lead evaluation, benchmarking, and implementation of scalable Agentic AI frameworks aligned with business use cases.
• Standardize Gen AI development with reusable orchestration blueprints, prompts, best practices, and integration patterns.
• Define scalable multi-agent patterns for tool usage, memory management, routing, communication, human-in-the-loop, and orchestration.
• Establish evaluation frameworks for reasoning, tool reliability, task completion, and hallucination mitigation.
• Design RAG architectures optimizing retrieval, embeddings, chunking, and reranking, aligned with business goals.
• Manage client engagements from discovery to delivery, leveraging DevOps, LLMOps, containerization, and CI/CD.

Skills

English proficiency

Leadership

Education

Bachelor's & Master's Degree in CS/DS

Tools

Azure AI Foundry

Amazon Bedrock

Google Vertex AI

LangGraph

CrewAI

AutoGen

Semantic Kernel

Pinecone

Weaviate

Milvus

Azure AI Search

LangSmith

Arize

GitHub Copilot

Cursor

Windsurf

Job description

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Generative AI Architect‑Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data‑driven decision‑making. As a Senior Manager, you will leverage your skills, professional network, and strategic vision to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to navigate challenges and make impactful decisions.

In this role at PwC Acceleration Center India, you will craft and convey clear, impactful messages that tell a holistic story. You will apply systems thinking to identify underlying problems and opportunities, validate outcomes with clients, and act on feedback to enhance solutions. Your ability to develop and sustain diverse and inclusive teams, coupled with your commitment to excellence, will contribute to the success of our firm. This position offers the chance to deepen your skills and evolve your expertise, focusing on staying relevant in the rapidly changing landscape of data science and AI.

Responsibilities

• Lead evaluation, benchmarking, and implementation of scalable, secure, and compliant Agentic AI frameworks aligned with enterprise business use cases and organizational strategies.
• Drive technical standardization and maturity in Generative and Agentic AI development by creating reusable orchestration blueprints, prompt engineering guides, best practices, and integration patterns to ensure consistent delivery in complex programs.
• Define scalable multi‑agent system design patterns including tool usage, memory management, task routing, agent communication, human‑in‑the‑loop processes, and orchestration frameworks.
• Establish evaluation frameworks to assess Agentic AI solution performance, focusing on reasoning, tool reliability, task completion, hallucination mitigation, and autonomous decision quality for production readiness and continuous improvement.
• Design enterprise Retrieval Augmented Generation (RAG) architectures optimizing retrieval processes, embeddings, chunking, and reranking aligned with business goals and data governance, while mentoring AI engineering teams and collaborating with stakeholders to translate objectives into AI roadmaps.
• Manage client engagements including discovery, demos, proposal development, and delivery planning, leveraging strong DevOps, LLMOps, containerization, and CI/CD pipeline expertise to ensure successful, trusted partnerships and stay updated on Agentic AI and Generative AI advancements.

What You Must Have

• Bachelor's & Master's Degree in computer science, Data Science, or a related field
• 12+ years of experience in technical/technology roles
• Oral and written proficiency in English required

What Sets You Apart

• Proven experience with enterprise cloud AI platforms like Azure AI Foundry (with Microsoft Fabric and Purview), Amazon Bedrock (with Knowledge Bases and Guardrails), and Google Vertex AI (with BigQuery and Agentspace) for building, governing, and deploying scalable production‑grade Gen AI and Agentic AI solutions.
• Hands‑on expertise with leading agentic and AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalents for AI workflow automation and orchestration.
• In‑depth knowledge of vector databases (Pinecone, Weaviate, Milvus, Azure AI Search) and their application in enterprise Retrieval Augmented Generation (RAG) and knowledge retrieval systems.
• Experience designing and scaling AI solutions that utilize multi‑modal capabilities across text, vision, audio, and document understanding to enhance AI functionality.
• Familiarity with AI governance and observability platforms (e.g., LangSmith, Arize) to enable monitoring, tracing, debugging, and compliance of production AI systems, along with expertise in selecting appropriate LLMs (GPT, Claude, Gemini, etc.) based on enterprise cost, latency, and compliance requirements.
• Knowledge of AI‑powered development tools (GitHub Copilot, Cursor, Windsurf) to improve engineering productivity and facilitate large‑scale AI‑driven software development