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GenAI Solutions Architect, Senior Manager

Job in Toronto, Ontario, M5A, Canada
Listing for: PwC
Full Time position
Listed on 2026-01-02
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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, Lang Chain ecosystem (Lang Flow, Lang Graph, Lang Fuse), 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 include but are not limited to:

  • Design, develop and deploy LLM-powered intelligent agents and RAG-based applications using frameworks like Lang Chain, Lang Flow, and Lang Graph.

  • Implement Lang Fuse 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 Dev Ops or Git Hub Enterprise and Git Hub 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 Dev Ops or Git Hub Enterprise and Git Hub 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…

    Position Requirements
    10+ Years work experience
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