Find work in Canada.

338,033 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 min ago
S
Software Engineer
Spellbook
Canada
- Full-time
Added 47 mins ago
WV
Change Management Lead
World Vision Canada
Mississauga, ON
- Full-time
Added 48 mins ago
TT
Loss Prevention Store Security Agent
The TJX Companies, Inc.
Halifax, NS · Mississauga, ON · CAN Home Office Mississauga ON
- $37,590 to $52,626 CAD / year
- Full-time
We're seeking a Loss Prevention Store Security Agent to help create a safe, secure, and welcoming environment in our stores. In this impactful role, you’ll be instrumental in theft…
Added 48 mins ago
S
Asset Protection Partner
Sephora
Dartmouth, NS
- $25 to $30 CAD / hour
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 1 hour ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
Design, build, and deploy intelligent agents and multi-agent systems that augment clinical and operational workflows, spanning task automation, decision support, and end-to-end process…
Added 1 hour ago
A
Allstate Sales Agent (Peterborough)
Allstate
Peterborough, ON
- Full-time
As an Allstate Sales Agent, you’ll grow your own book of business, build strong relationships in your community, and help people protect what matters most. This is a hybrid role, where…
Added 1 hour ago
P
Mergers and Acquisitions Tax, Manager \
PwC
Toronto, ON
- Part-time
Added 1 hour ago
Change Management Lead
World Vision Canada
Mississauga, ON
Added 2 hours ago
TH
Finance Manager, Technology
The Home Depot Canada
Toronto, ON
- Full-time
A change agent who has the ability to influence and get people on side.
Added 2 hours ago
C
Legal Product Builder
Carta
Toronto, ON
- Full-time
…development process, helping turn complex legal work into scalable, agent driven…
Added 2 hours ago
M
Sr. Software Developer
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a Sr. Software Developer to design, build, and scale modern software solutions that support healthcare technology innovation. In this role, you will help deliver secure,…
Added 2 hours ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Added 2 hours ago
NC
Housing Support Worker
Neighbours Community Homes
Toronto, ON
- Full-time
Act as agent of the landlord, make and implement rent or behavioural agreements with tenants and monitor them.
Added 2 hours ago
G
Principal AI Solutions Architect, Customer Success
Genesys
AB · Toronto, ON · ON · Quebec, QC
- Full-time
…customized self-service, IVR, routing, and AI-powered virtual agent solutions that help enterprises create more effective customer experiences. As a Principal AI Solutions Architect, you…
Added 2 hours ago
NC
Housing Support Worker
Neighbours Community Homes
Canada
- Full-time
Act as agent of the landlord, make and implement rent or behavioural agreements with tenants and monitor them.
Added 2 hours ago
Product Operations Manager
Brex
Vancouver, BC
Turn AI support agent failure patterns into documentation improvements, with human validation of every AI-suggested change.
Added 3 hours ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
Drive MaintainX's AI-native platform strategy - the AI Builder team's agent orchestration, tool registry, and developer environments sit in this division; your job is to ensure the org…
Added 3 hours ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC
Build and evaluate AI-agent-based diagnosis capabilities (for example on Amazon Bedrock AgentCore), including measuring whether the agents actually get it right
Added 3 hours ago
P
Senior Associate, Workforce Transformation (Bilingual FR/ENG)
PwC
Montreal, QC
- Full-time
Added 3 hours ago
P
Workforce Transformation Senior Associate
PwC
Ottawa, ON · Toronto, ON
- Full-time
Added 3 hours ago
P
US State and Local Tax, Senior Associate
PwC
Toronto, ON
- Full-time
Added 3 hours ago
S
Développeur Logiciel R&D Senior / Senior R&D Software Developer
Syntronic
Montreal, QC
- Full-time
As a Senior R&D Software Developer, your main responsibilities will include the technical design, development and evolution of a software product, as well as technical leadership and…
Added 3 hours ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
Design and build working AI applications, assistants, and agent-based workflows. Write and test code, choose appropriate models and retrieval approaches, and validate solution behaviour…
Added 3 hours ago
CR
Global Forwarding Agent (Ocean Export)
C.H. Robinson
Montreal, QC
- Full-time
We’re C.H. Robinson, one of the world’s largest logistics platforms and we're looking for our next Global Forwarding Agent (Ocean Export). Is that you? Are you detail-oriented,…
Added 3 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Generative AI & LLMs: Gemini, Vertex AI, OpenAI, Llama, Foundation Models, Prompt Engineering, Conversational AI, Agentic AI / Multi-Agent Architectures, AI Model Evaluation and Monitoring

Mphasis

Technical Architect- AI

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 7, 2026
Posting language: English
Posted: Sep 24, 2026

Original job description

Role Description

Job Description

Job Summary – AI Architect

We are seeking a highly experienced AI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Agentic AI, Vector Databases, and the Google AI ecosystem including Vertex AI and Gemini. The role requires a blend of strategic architecture leadership and hands-on technical expertise to deliver scalable, secure, and production-ready AI platforms.

Years of Experience: 

10+ years of overall experience in software engineering, cloud architecture, or data platforms.
5+ years of experience designing and implementing AI/ML solutions.
3+ years of experience delivering Generative AI and LLM-based applications in enterprise environments.
Proven experience implementing RAG architectures, conversational AI platforms, and AI-powered knowledge management solutions.

Required

Technical Skills:

Bachelor’s degree in Computer Science, Data Science.
Generative AI & LLMs: Gemini, Vertex AI, OpenAI, Llama, Foundation Models, Prompt Engineering, Conversational AI, Agentic AI / Multi-Agent Architectures, AI Model Evaluation and Monitoring
RAG & Knowledge Systems: Retrieval-Augmented Generation (RAG), GraphRAG, Knowledge Graphs, Semantic Search, Embeddings and Vector Search, Document Intelligence and Enterprise Search
Google Cloud Platform (GCP): Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub, Dataflow, GKE (Google Kubernetes Engine)
Vector Databases & Search: Vertex AI Vector Search, Pinecone, ChromaDB, FAISS, pgVector
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Security & Governance: Responsible AI, AI Risk Management, Data Governance, Security Architecture, Compliance & Audit Controls

Preferred Certifications

Google Cloud Professional Cloud Architect
Google Cloud Professional Machine Learning Engineer
Google Generative AI Certifications
Databricks Generative AI Certifications (preferred)

Key Responsibilities

AI Architecture & Strategy

Define enterprise AI architecture standards, patterns, and best practices.
Design end-to-end Generative AI, RAG, and Agentic AI solutions.
Develop AI roadmaps aligned with business objectives and technology strategy.

RAG & Knowledge Platform Design

Architect large-scale RAG and GraphRAG solutions.
Design document ingestion, chunking, indexing, retrieval, re-ranking, and grounding strategies.
Optimize AI solution accuracy, scalability, latency, and cost efficiency.
Build enterprise knowledge platforms leveraging structured and unstructured data sources.

Generative AI Solution Delivery

Lead the design and implementation of AI assistants, chatbots, copilots, and autonomous agents.
Enable integration of LLMs with enterprise systems, APIs, and workflows.
Establish frameworks for prompt engineering, model evaluation, and continuous improvement.

Cloud & Platform Engineering

Architect scalable AI platforms using GCP services.
Drive cloud-native AI application development and deployment.
Define best practices for performance optimization, reliability, observability, and resilience.

Governance, Security & Responsible AI

Implement AI governance frameworks, security controls, and monitoring capabilities.
Ensure compliance with enterprise policies, data privacy, and regulatory requirements.
Establish standards for model transparency, explainability, and risk management.

Leadership & Collaboration

Partner with business stakeholders, product owners, data engineers, and AI teams.
Conduct architecture reviews and technical design workshops.
Mentor engineering teams and promote AI adoption across the organization.
Present architecture recommendations and investment strategies to executive leadership.

Location: Toronto, ON

Work Mode: Hybrid, 3-4 days per week

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .

Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.

Other Details

Deputation Location : CA~Ontario~Toronto

null

Apply About employer

More about this job

Responsibilities

Define enterprise AI architecture standards and lead the design and delivery of scalable Generative AI, RAG, and Agentic AI solutions on Google Cloud. Establish secure, governed AI platforms and knowledge systems, while collaborating with stakeholders, mentoring teams, and advising executive leadership.

Requirements

Requires 10+ years of overall experience, including 5+ years designing AI/ML solutions and 3+ years delivering enterprise Generative AI and LLM applications. A bachelor's degree in Computer Science or Data Science and expertise in GCP, Vertex AI, RAG, LLMs, vector search, AI frameworks, MLOps, and security and governance are specified.

Skills

Generative AI
Large Language Models
Google Cloud Platform
Vertex AI
Gemini
Retrieval-Augmented Generation
GraphRAG
Agentic AI
Vector Databases
Knowledge Graphs
Python
LangChain
LangGraph
MLOps
AI Governance
Cloud Architecture

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Gemini
Vertex AI
Google Cloud Platform
Retrieval-Augmented Generation
GraphRAG
Agentic AI
Multi-Agent Architectures
Vector Search
Vector Databases
Knowledge Graphs
Semantic Search
Enterprise Search
Prompt Engineering
Model Evaluation
BigQuery
Cloud Run
Google Kubernetes Engine
Pinecone
ChromaDB
FAISS
pgVector
LangChain
LangGraph
LlamaIndex
Python
FastAPI
MLOps
Terraform

Report this job