GenAI Solutions Architect, Senior Manager

PwC; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading consulting firm is seeking a Senior Manager, GenAI Solutions Architect in Toronto, Canada. This role involves architecting and building AI applications using modern frameworks and techniques. Candidates should have expertise in Python and familiarity with GenAI tools. Responsibilities include designing intelligent agents and collaborating with cross-functional teams to enhance AI solutions. The firm values diversity and offers a competitive compensation package, along with an inclusive work environment.

Benefits

Flexible work environment

Competitive compensation

Inclusive benefits programs

Qualifications

• Extensive experience building and deploying LLM solutions in cloud environments like Azure.
• Solid understanding of Embedding Models and LLM token limits.
• Hands-on experience with observability tooling in GenAI pipelines.

Responsibilities

• Design and deploy LLM-powered intelligent agents and RAG-based applications.
• Collaborate with teams to improve existing AI Solutions architecture.
• Develop Python-based microservices for embedding AI capabilities.

Skills

Proficiency in Python

Experience with GenAI tools

Understanding of data structures

Experience with RAG-based systems

Knowledge of OpenAI API

Experience in prompt engineering

Tools

Azure DevOps

FastAPI

Flask

Django

Kubernetes

Vector Stores: Qdrant

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting‑edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
In user experience design at PwC, you will focus on the process of creating and enhancing the overall experience that users have when interacting with a product, system, or service.

Meaningful work you'll be part of

As an GenAI Solutions Architect, Senior Manager with deep technical expertise in architecting and building resilient, production‑grade AI applications using modern GenAI frameworks and Retrieval‑Augmented Generation (RAG) techniques. This role demands hands‑on expertise in Python, LangChain ecosystem (LangFlow, LangGraph, LangFuse), and Vector Databases such as Azure AI Search, Qdrant, and the likes. The ideal candidate should be capable of architecting intelligent, highly performant AI agent‑based systems that combine LLMs with semantic search, tool orchestration, and business logic.

Responsibilities

• Design, develop and deploy LLM‑powered intelligent agents and RAG‑based applications using frameworks like LangChain, LangFlow, and LangGraph.
• Implement LangFuse for observability, latency tracking, and hallucination detection in GenAI pipelines.
• Build scalable semantic search pipelines using vector databases such as Qdrant, Pinecone, Azure AI Search, and integrate with LLM‑driven workflows.
• Develop Python‑based microservices for embedding AI capabilities into enterprise‑grade platforms using frameworks such as FastAPI, FastMCP, Flask, or Django.
• Leverage OpenAI, Gemini, Claude, or open‑source LLMs (e.g., LLaMA, PaLM, Mistral) via APIs or self‑hosted models for multi‑turn conversations and knowledge‑driven tasks.
• Construct multi‑hop reasoning, tool‑calling agents capable of real‑world decision‑making across domains like customer support, marketing, and operations.
• Automate deployment of AI solutions, using Azure DevOps or GitHub Enterprise and GitHub Actions.
• Effectively collaborate with data engineers, AI developers and product teams to review existing AI Solutions architecture and identify technical alternatives to improve non‑functional capabilities of existing solutions.
• Align GenAI solutions with business use cases and ensure robust delivery pipelines.
• Define and implement in‑house evaluation metrics for latency, grounding, factual consistency, and user engagement.

Experience and skill you'll use to solve

• Proficiency in Python with a strong understanding of data structures, concurrency, and REST API development and deployments on Serverless environments on Microsoft Azure.
• Extensive, hands‑on experience with GenAI tools.
• Proven experience with RAG‑based system design, including chunking, embedding generation, retrieval strategies (dense, hybrid), and feedback loops.
• Exposure to AI Services like AI Search (formerly Cognitive Search), Document Intelligence.
• Exposure to Microservices‑oriented and Containerized deployment architecture leveraging Kubernetes.
• Hands‑on with Vector Stores: Qdrant, Azure AI Search, Pinecone, Chroma, Weaviate.
• Solid understanding of Embedding Models, Chat Completion Models, LLM token limits, context windowing, and semantic similarity techniques.
• Knowledge of OpenAI API, LiteLLM, Hugging Face Transformers, and LLM fine‑tuning & evaluation.
• Extensive experience building and deploying LLM solutions in cloud environments like Azure.
• Exposure to observability tooling and latency optimization strategies in GenAI pipelines.
• Experience in prompt engineering, context synthesis, and few‑shot learning patterns.
• Working knowledge of CI/CD pipelines to deploy AI solutions, using Azure DevOps or GitHub Enterprise and GitHub Actions.
• PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

Inclusion & Diversity Statement

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.