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Added 4 mins ago
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Sr. Security Engineer – Offensive Security/Penetration testing
Cognizant
Toronto, ON
- Full-time
As a Senior Security Engineer, you will make an impact by leading the implementation and optimization of Tenzai security solutions while strengthening enterprise Threat & Vulnerability…
Added 4 mins ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 4 mins ago
ZC
Automation Engineer
Zurich Canada
Toronto, ON
- Full-time
Zurich Canada is currently looking for an Entry-Level Automation Engineer to join our technology team. This is an exciting opportunity for an early-career technology professional who is…
Added 4 mins ago
FR
Hardware Design Engineer - Agricultural Robots
Finite Robotics
Kitchener, ON
- Full-time
…production grade for the 2027 fleet. This role (the Hardware Design Engineer) is an important role help make that…
Added 4 mins ago
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Software Engineer - Platform Services
Nokia
Ottawa, ON · Kanata, ON
- Full-time
…drive the development of cutting-edge platforms. As a Software Engineer in Platform Services, you will be part of a dynamic team responsible for designing and developing scalable and robust…
Added 4 mins ago
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UI Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
…closely with our platform engineers and UX team. As a UI Software Engineer, you will be responsible for designing and implementing cutting-edge dashboards and interfaces. Your expertise in…
Added 4 mins ago
TI
DevOps Engineer, Capital Markets
Themesoft Inc.
Halifax, NS
- Contract
As a solution engineer, you will be responsible for supporting application teams in all their DevOps needs and implementation. You will be working directly with the application teams to…
Added 6 mins ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will work under the guidance of Sr Engineers/Platform Leads to build, tune, manage infrastructure, DevOps, monitor troubleshoot, enhance, enable new features & provide…
Added 6 mins ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will be responsible for the building, tuning, managing infrastructure, DevOps, Platform site reliability, monitoring, troubleshooting, enhancing, enabling new…
Added 6 mins ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 6 mins ago
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
We are hiring a Photonics PDK Modeling Engineer to join our team. In this role, you will develop our internal Process Design Kit (PDK). You will act as the architect of our component…
Added 21 mins ago
M
Senior Software Engineer, Web & SDK
Mecka
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
The data we capture is only as valuable as the tools people use to work with it. As Application / Platform Engineer, you build the web viewers and players that make our egocentric data…
Added 21 mins ago
Spécialiste en Ingénierie Mécanique - Centre de Données, Mechanical Engineering Specialist – Data Centers, Data Center Field Engineering
Amazon
Varennes, QC
Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.
Added 21 mins ago
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AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
Reporting to the Director, AI & Digital Planning, the AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including…
Added 35 mins ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Databricks certification, such as the Databricks Azure Platform Architect accreditation or Data Engineer Professional
Added 35 mins ago
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Embedded Software Engineer
Actalent
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
The Embedded Software Engineer designs, develops, and maintains embedded computer system software for advanced military and naval applications, including control software for helicopter…
Added 35 mins ago
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Senior Power Plant Engineer
WestJet
Calgary, AB
- Full-time
Reporting to the Senior Manager, Powerplant Engineering, the Senior Powerplant Engineer is responsible for the engineering management as related to the WestJet Aircraft Engine Program which…
Added 35 mins ago
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Senior Electrical Designer
CRWS - Canadian Railway Services
Montreal, QC
- Full-time
As Senior Electrical Designer, you will work with the Lead Electrical Engineer to design, develop, review, and support electrical and automation systems used in rolling stock applications.
Added 35 mins ago
A
SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 35 mins ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- $180,000 to $230,000 USD / year
- Full-time
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.
Added 35 mins ago
L
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
- Full-time
We are hiring a Photonics PDK Modeling Engineer to join our team. In this role, you will develop our internal Process Design Kit (PDK). You will act as the architect of our component…
Added 36 mins ago
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Software Engineer I - Front End
TD
Toronto, ON
- Full-time
Document and verify system components, applications, system infrastructure, security, integration, operability and engineering related architecture designs associated with a program or…
Added 51 mins ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Databricks certification, such as the Databricks Azure Platform Architect accreditation or Data Engineer Professional
Added 51 mins ago
AE
Senior Specialist, Facility Decommissioning & Abandonment
Alberta Energy Regulator
Bonnyville, AB · Calgary, AB · Drayton Valley, AB · AB · Fort McMurray, AB · Grande Prairie, AB · Red Deer, AB · Slave Lake, AB
- Full-time
…facility liability cost estimation methodologies, improving integration of closure considerations throughout the regulatory framework, and providing technical leadership, strategic advice,…
Added 1 hour ago
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Senior Systems Integration Engineer
HDR
Toronto, ON
- Full-time
HDR is seeking a Senior Rail Systems Integration Engineer to join our Toronto office. Reporting to the Section Lead - Systems and Operations, you will be part of the larger North America…

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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