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Added 1 min ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC
- Full-time
…differentiated capabilities across grid modernization, resiliency, security, and sustainability. The firm partners with utilities, commercial, industrial, data center, and government…
Added 16 mins ago
Senior Software Dev Engineer, EC2 Hyperplane
Amazon
Vancouver, BC
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, and operations managers. Together we deliver strong safety, security,…
Added 16 mins ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Maintaining the security and integrity of SWIFT-connected applications, which operate within tightly controlled secure network zones and access models
Added 16 mins ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Maintaining the security and integrity of SWIFT-connected applications, which operate within tightly controlled secure network zones and access models
Added 30 mins ago
PL
SCADA and Communications Specialist
PSG leadership Inc.
Ajax, ON
- Full-time
The SCADA & Communication Coordinator works independently and under the direction of the Manager, Technology and Security Operations. Provides full installation, operation, maintenance, and…
Added 30 mins ago
Q
Lead Engineer - Mechanical
Qualus
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…differentiated capabilities across grid modernization, resiliency, security, and sustainability. The firm partners with utilities, commercial, industrial, data center, and government…
Added 30 mins ago
A
Senior Verification Engineer - Security
Arm
Toronto, ON
- Full-time
As a creative problem solving Security and Embedded Processor Verification Engineer, you will be part of a team that will define and realize the Hardware Security IP and Subsystem. We will…
Added 46 mins ago
M
Network Engineer
Moneris
Toronto, ON
- Full-time
Moneris is seeking a highly skilled Network Engineer to design, implement, automate, and support the enterprise network infrastructure that powers our business and payment processing…
Added 46 mins ago
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Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 46 mins ago
C
Software Tests Specialist (CF-18 Fighter)
CAE
Mirabel, QC
- Full-time
Serve as a Test Project Engineer supporting onboard software applications for the CF-18 fighter aircraft.
Added 1 hour ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
10+ years of overall experience in software engineering, cloud architecture, or data platforms.
Added 1 hour ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 1 hour ago
A
Python AI Engineer
Apptad
Toronto, ON
- Full-time
Follow best practices for coding, testing, security, and application performance.
Added 1 hour ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 hour ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
Our team is embarking on a journey to develop the next generation of website traffic management software that protects customers experience. Your work will be highly visible and is…
Added 1 hour ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
…engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen…
Added 1 hour ago
Application & Infrastructure Analyst III /Team Lead - Mission Critical Development
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AB
Collaborate with project teams, vendors, business stakeholders, operational units, enterprise architecture, information security, and other IT teams to deliver technical components.
Added 1 hour ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 1 hour ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
As a Principal Software Engineer, you will be a senior technical leader and strategic influencer shaping Redwood’s RunMyJobs platform. You will drive high-impact technical decisions, own…
Added 2 hours ago
C(
Senior Software Engineer, Elixir
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Vancouver, BC
- Full-time
As a Senior Engineer at Hiive, you will be a hands-on contributor to the backed system powering our platform, while building a user friendly interface. You will collaborate with technical…
Added 2 hours ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
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Pickering, ON
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Become a Lead Data Engineer - Temporary Assignment up to 18 months with MPAC
Added 2 hours ago
T
Sr, Mainframe Engineer, TD Securities
TD
Toronto, ON
- Full-time
…specification, industry analysis, vendor engagement and analysis, software development, project management, financial management, test plans and execution, and operational standards…
Added 2 hours ago
N
Network Engineer
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Calgary, AB
- Full-time
Own or oversee lifecycle activities for core network hardware and software assets, including purchasing, sparing, licensing, maintenance, and refresh planning.
Added 2 hours ago
AC
Data and Modelling Engineer
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- Full-time
We are seeking a Data and Modeling Engineer to join our IT Applications team. This role will focus on translating business requirements into reliable data models, consistent KPI…
Added 2 hours ago
Intermediate Site Reliability Engineer
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Our mission is to power measurable employee engagement worldwide, and we're looking for an Intermediate Site Reliability Engineer to join our Engineering team.

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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