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Added 16 mins ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 2 hours ago
MS
Design Validation Co-op
Motorola Solutions
Vancouver, BC
- Full-time
At Motorola Solutions we are helping solve some of the biggest challenges around safety and physical security by developing advanced artificial intelligence (AI) technologies and products…
Added 2 hours ago
TC
Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Added 3 hours ago
LC
Senior Engineer, Application Security
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Application Security Engineer, you will serve as a foundational anchor on the AppSec team, leading our strategic shift hard-left toward developer-embedded security and Secure by…
Added 3 hours ago
TC
Adobe Site Reliability Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 8 hours ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 13 hours ago
C
Principal Machine Learning Engineer, AISWP (Hybrid)
Cisco
Vancouver, BC
- Full-time
Join our team as a Principal Forward Deployed Engineer to shape the future of our AI-powered platforms. You will:
Added 14 hours ago
M
Senior Software Engineer - Customer Portfolio Enablement
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is looking for a talented Senior Software Engineer to deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined…
Added 14 hours ago
B&
Assistant Transmission Engineer - Transmission & Distribution (Toronto)
Burns & McDonnell
Toronto, ON
- Full-time
The Assistant Transmission Engineer will work under the supervision of a licensed professional engineer to assist project teams to create world class designs for new projects, alterations…
Added 14 hours ago
B&
Project Manager - Transmission & Distribution (Toronto)
Burns & McDonnell
Toronto, ON
- Full-time
Added 15 hours ago
Staff Software Engineer, Backend Platform
Robinhood
Toronto, ON
…accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only…
Added 15 hours ago
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Senior Software Engineer - Backend
Microsoft
Vancouver, BC
- Full-time
The engineer in this role drives initiatives with company-level impact, ensuring our platform can continue to scale, evolve, and support future Microsoft Ads growth.
Added 16 hours ago
WU
Technical Customer Support 2
West Unified Communications Services (formerly known as InterCall Asia Pacific)
Montreal, QC
- Full-time
Added 16 hours ago
AM
Senior Firmware Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for an experienced and passionate Firmware Engineer to join the NBIO team and drive HW/FW co-development for IP sub-systems. In this role, you will collaborate with hardware,…
Added 17 hours ago
WH
Digital Transformation Intern
WELL Health Technologies Corp
Toronto, ON
- Full-time
Added 17 hours ago
WH
Digital Transformation Intern
WELL Health Technologies Corp
Vancouver, BC
- Full-time
Added 18 hours ago
A
Information Technology - Lead Analytics Engineer, Analytics Engineering Excellence
Aritzia
Vancouver, BC
- Full-time
…analysis, reporting, and data science. As the Lead Analytics Engineer, you will play a pivotal role in designing and maintaining data models, applying data modeling expertise, and enabling…
Added 19 hours ago
IL
Technical Customer Support 2
Intrado Life & Safety, Inc.
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Added 19 hours ago
AM
Systems Design Engineer (New Grad)
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…are looking for a driven, analytically-minded Systems Design Engineer to join AMD's DGPU LSE team - a cutting-edge leadership group working on industry-leading discrete Graphics Processing…
Added 19 hours ago
L
Senior Yocto Developer Toronto
Litmus
Remote, Canada
- Full-time
- Remote
AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production…
Added 19 hours ago
MB
Reliability Engineer / Project Engineer
Martin Brower
New Westminster, BC
- Full-time
Primary role of the Reliability/ Project Engineer is to identify, manage, improve equipment run time and preventative maintenance program. At the same time, the role requires hands-on work…
Added 19 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 19 hours ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- Full-time
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.

Mphasis

Technical Architect- AI

Toronto, ON, Canada

Full-time

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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

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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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