Jobs in Canada

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Added 1 month ago
B
Manager, Credit Risk Model Validation
BMO
Toronto, ON · FCP
- Full-time
Lead the development, execution, and enhancement of the model validation framework, methodologies, and validation strategies.
Added 1 month ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
Assess data quality and technical debt and lead practical improvements to legacy data structures and integrations.
Added 1 month ago
DI
Specialist, Actuarial
Definity Insurance Company
Toronto, ON
- Full-time
As a senior individual contributor, you will lead complex, high-impact initiatives that explore emerging trends, evaluate new opportunities, and solve ambiguous business challenges using…
Added 1 month ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Lead root cause analysis and implement permanent fixes for production incidents
Added 1 month ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Lead root cause analysis and implement permanent fixes for production incidents
Added 1 month ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Added 1 month ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 1 month ago
Senior Software Engineer, Web3 Backend
Robinhood
Toronto, ON
This role is based in our Toronto office, with in-person attendance expected at least 3 days per week
Added 1 month ago
M
Network Engineer
Moneris
Toronto, ON
- Full-time
…supporting mission-critical payment processing platforms. You will lead technical projects from design through operational handoff while leveraging technologies such as Cisco Nexus, Arista,…
Added 1 month ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 1 month ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Work Mode: Hybrid, 3-4 days per week
Added 1 month ago
DC
Control System Specialist
Delta Controls
Surrey, BC
- Full-time
Software Solutions; application development for customization of enteliWEB (our enterprise web application) and controller loadable Python modules
Added 1 month ago
EI
Senior Water Resources Engineer, Land Development
Egis in Canada
Toronto, ON
- $105,000 to $130,000 CAD / year
- Full-time
Lead hydraulic modeling design and review for municipal water, stormwater, and wastewater systems using industry-standard software.
Added 1 month ago
ET
Software Engineer
Envision Technology Solutions
Toronto, ON
- Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 1 month ago
EG
Senior Water Resources Engineer, Land Development
Egis Group
Toronto, ON
- $105,000 to $130,000 CAD / year
- Full-time
Lead hydraulic modeling design and review for municipal water, stormwater, and wastewater systems using industry-standard software.
Added 1 month ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Become a Lead Data Engineer - Temporary Assignment up to 18 months with MPAC
Added 1 month ago
CO
Manager, Geographic Information Systems (GIS)
City of North Vancouver
North Vancouver, BC
- $128,520 to $151,200 CAD / year
- Full-time
This is a working manager role: in a small team, the position is expected to contribute directly to technical delivery as well as to lead it.
Added 1 month ago
W
Senior Data Migration Specialist
WELLSTAR
Remote, Canada
- Full-time
- Remote
Help set the technical direction for complex migrations. You will lead complex, high-value EMR conversions for multi-location practices and enterprise healthcare organizations. You will…
Added 1 month ago
GO
Senior Research and Data Analyst
Government of New Brunswick
Fredericton, NB
- Full-time
You will be the Bureau’s analytical and technical lead on pay transparency reporting: the person who makes sure the data employers submit is sound, who turns that data into public…
Added 1 month ago
C
Chapter Lead, Data Engineering
Cogeco
Burlington, ON · Montreal, QC
- Full-time
Must have proficiency in writing complex, optimized SQL queries
Added 1 month ago
C
Director, Advanced Network Planning
Ciena
Ottawa, ON
- Full-time
The must haves:
Added 1 month ago
EI
Senior Water Resources Engineer
Egis in Canada
AB · Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
Lead hydraulic modeling design and review for municipal water, stormwater, and wastewater systems using industry-standard software.
Added 1 month ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
This is a full-time, hybrid position, working in our Toronto office three days per week
Added 1 month ago
HP
Sr Manager, Business Analytics
Hill's Pet Nutrition
Toronto, ON
- $143,100 to $166,950 CAD / year
- Full-time
Model Development & Machine Learning: Lead the end-to-end design, development, and implementation of predictive models, machine learning algorithms, and data modeling techniques using…
Added 1 month ago
EG
Senior Water Resources Engineer
Egis Group
Edmonton, AB
- $105,000 to $130,000 CAD / year
- Full-time
Lead hydraulic modeling design and review for municipal water, stormwater, and wastewater systems using industry-standard software.

Mphasis

Technical Architect- AI

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
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

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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

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Jobs in Canada