Generative AI Architect- Manager

PwC; Bangalore Rural; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC seeks an experienced Architect to design enterprise GenAI solutions focused on agentic systems, orchestration, and multi-agent collaboration. You will lead standards, select tech stacks, and align with client cloud platforms while ensuring observability and reliable delivery.

You will mentor GenAI/Agentic AI teams, drive MVP scopes with stakeholders, and champion CI/CD practices across AI projects with modern tooling.

Qualifications

• Experience architecting enterprise GenAI solutions with agentic systems.
• Ability to translate business goals into AI requirements and MVP scope.
• Proven ability to lead cross-functional engineering teams and reviews.

Responsibilities

• Architect end-to-end GenAI solutions focusing on agentic systems.
• Define agentic design standards for communication, routing, and orchestration.
• Align tech choices with client cloud platforms and governance policies.
• Collaborate with stakeholders to define capabilities, metrics, and MVP scope.
• Establish observability, testing, and production SLAs for reliability.
• Lead GenAI engineering teams through architecture reviews and QA.
• Evaluate and implement AI stacks using vector databases, orchestration, and DevOps tools.

Skills

Architectural leadership

Agentic AI design

System orchestration

Mentoring/leadership

Observability strategy

Tools

Pinecone

Weaviate

Azure AI Search

LangGraph

CrewAI

AutoGen

Semantic Kernel Agents

LangSmith

Langfuse

Arize AI

Azure DevOps

GitHub Actions

LLMOps

Containerized architectures

Job description

Role & responsibilities

Architect end-to-end enterprise GenAI solutions focusing on agentic system designs, including multi-agent orchestration, autonomous task execution, tool-use chains, LLM integration, and RAG pipelines.

• Define and enforce agentic design standards across teams covering agent communication protocols, intelligent task routing, lifecycle management, shared tool registries, and orchestration framework selection (e.g., LangGraph, CrewAI, AutoGen, Semantic Kernel Agents, cloud-based frameworks).
• Align technology choices with clients preferred cloud platforms and infrastructure, ensuring compliance, cost efficiency, portability, and seamless integration with existing governance policies and services.
• Collaborate with business stakeholders to translate objectives into agentic AI requirements, defining agent capabilities, success metrics, and MVP scope for iterative delivery.
• Establish robust observability, testing, and operational standards for agentic AI solutions including telemetry, monitoring, automated regression tests, simulation environments, and production SLAs to ensure reliability.
• Lead and mentor GenAI/Agentic AI engineering teams through architecture reviews, code-level guidance, sprint planning, and quality assurance to ensure high-quality solution delivery.
• Evaluate, select, and implement agentic AI technology stacks encompassing vector databases (Pinecone, Weaviate, Azure AI Search), orchestration frameworks, observability tools (LangSmith, Langfuse, Arize AI), and AI-powered development tools, complemented by strong expertise in DevOps, LLMOps, containerized architectures, and CI/CD pipelines (Azure DevOps, GitHub Actions).