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Added 1 month ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role partners with vehicle data engineering, software application teams, program management, systems engineering, and quality engineering to turn operational needs into reliable…
Added 1 month ago
DI
Data Engineering Lead
Definity Insurance Company
Toronto, ON
- Full-time
…automation, and modern data engineering standards. They collaborate with engineering managers, architects, and business stakeholders to translate business needs into resource,…
Added 1 month ago
S
Machine Learning Developer
Senstar
Waterloo, ON
- Full-time
This is an opportunity for an early-career developer who enjoys working with machine learning, software development, automation, and embedded technologies. You'll work closely with an…
Added 1 month ago
A
Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk
Vancouver, BC · Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…manufacturing, and entertainment software, is seeking a skilled MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine…
Added 1 month ago
TA
Decision Science Specialist
Transat AT
Montreal, QC
- Full-time
In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical…
Added 1 month ago
HC
Research Engineer
Human Computer Lab
Remote, Canada
- Full-time
- Remote
…stack or a new robot body after that. You'll work directly with the CEO and founding team, with real room to explore, on problems that ship to people's…
Added 1 month ago
AT
Decision Science Specialist
Air Transat
Montreal, QC
- Full-time
In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical…
Added 1 month ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
AI Frameworks & Development: LangChain, LangGraph, LlamaIndex, FastAPI, REST APIs, Python, SQL
Added 1 month ago
UH
Senior Data Science Analyst
University Health Network
Toronto, ON
- Contract
UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western…
Added 1 month ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
The ideal candidate should have hands-on experience with AWS SageMaker, SageMaker Feature Store, MLOps frameworks, and Python development. The resource will be responsible for designing and…
Added 1 month ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
…for systems and infrastructure issues and will work closely with DevOps, Network, DBA, Security, and application teams to deliver reliable, secure, scalable infrastructure in support of…
Added 1 month ago
R&
Senior Azure DevOps / AI Platform DevOps
Robertson & Company Ltd.
Ottawa, ON
- Contract
Strong scripting and automation capability using Python, with Bash or similar scripting also desirable
Added 1 month ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
Steer agents with software-architecture direction and validate their output - hallucinated APIs, risky dependencies, security regressions.
Added 1 month ago
AI Software Intern (Canada)
Tenstorrent University Jobs
Toronto, ON
Experience with C/C++ or kernel development in languages like CUDA, or Python and at least one ML framework (PyTorch, TensorFlow, JAX).
Added 1 month ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Python testing: pytest, pytest-xdist, integration tests, and performance reporting (with run-to-run variation).
Added 1 month ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply…
Added 1 month ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply…
Added 1 month ago
E
AI Software Designer RAN & AI Solutions
Ericsson
Ottawa, ON
- Full-time
Experience with AI/ML and Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, knowledge engineering, AI-assisted software…
Added 1 month ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Ottawa, ON
- Volunteer
Eligibility: We will only be considering applicants enrolled in an accredited Co-op or Internship program in line with their program requirements from their post-secondary academic…
Added 1 month ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
AB · Edmonton, AB
- Volunteer
Eligibility: We will only be considering applicants enrolled in an accredited Co-op or Internship program in line with their program requirements from their post-secondary academic…
Added 1 month ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Montreal, QC
- Volunteer
Eligibility: We will only be considering applicants enrolled in an accredited Co-op or Internship program in line with their program requirements from their post-secondary academic…
Added 1 month ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Calgary, AB
- Volunteer
Eligibility: We will only be considering applicants enrolled in an accredited Co-op or Internship program in line with their program requirements from their post-secondary academic…
Added 1 month ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Comfortable building data pipelines and working with large-scale data using tools like Spark, Airflow, SQL, or Python.
Added 1 month ago
E
AI Software Designer RAN & AI Solutions
Ericsson
Ottawa, ON
- Full-time
Experience with AI/ML and Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, knowledge engineering, AI-assisted software…
Added 1 month ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
You master general software engineering principles with Python and Java, building robust RESTful APIs, containerized services with Docker and Kubernetes, and native AWS infrastructure.

Mphasis

Technical Architect- AI

Toronto, ON, Canada

Full-time

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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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