Generative AI Architect- Senior Manager
Pwc (Crm Experienced Careers Site) Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at Pwc (Crm Experienced Careers Site). Bangalore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Lead the assessment and rollout of secure, compliant Agentic AI frameworks for enterprise needs
- Create reusable orchestration designs, prompt guidance and integration patterns to make AI delivery consistent
- Set multi-agent designs for tools, memory, task routing, agent communication and human review
- Build tests for reasoning, tool reliability, task completion and hallucination control before production
- Design enterprise RAG systems, guide AI engineers and shape client roadmaps, proposals and delivery plans
What you bring
- You hold both a bachelor’s and master’s degree and bring at least twelve years in technical roles
- You can communicate in English, both in writing and conversation
- You have hands-on experience with cloud AI platforms and agent orchestration frameworks for production solutions
- You understand vector databases and how they support enterprise RAG and knowledge retrieval
Who this fits
This senior manager role suits someone who can guide multidisciplinary teams, mentor engineers and steer senior client discussions from discovery through delivery. English proficiency is required.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior ManagerJob Description & Summary
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 lead the design of AI-enabled solutions that turn business challenges into practical data and analytics engineering outcomes, within our Data and Analytics Engineering practice. As a Senior Manager you will use strategic judgment, influence, and coaching skills to guide multi-disciplinary teams through complex delivery, shape client conversations at a senior level, and move ideas from concept to execution while maintaining operational excellence.
In this role at PwC, you will focus on generative AI architecture, solution design, and delivery support across data science and AI initiatives, drawing on advanced technologies, statistical methods, and storytelling to translate data into decisions. You will also contribute to team development, mentor others through ambiguity, and validate that technical direction aligns with client priorities and the broader business context.
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
- At least a Bachelor's & Master's Degree
- 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.
Travel Requirements
Not SpecifiedJob Posting End Date