AI Solutions Architect, Senior Manager

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 do:

As an AI 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

Key responsibilities include but not limited to:

• 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: Predominantly,
• 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.

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 continuous 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

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.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date