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Added 1 min ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 1 min ago
AI
GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
GCP Professional Cloud Architect/DevOps Engineer certification.
Added 1 min ago
ES
Python Backend Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are looking for a strong Python Backend Engineer with hands-on experience designing and building scalable backend systems, microservices, APIs, and distributed applications.
Added 2 mins ago
LI
GCP Infrastructure Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
GCP Professional Cloud Architect/DevOps Engineer certification.
Added 2 mins ago
RI
Senior Full Stack Engineer - Java /
Rose International
Mississauga, ON
- Full-time
Job Title: Senior Full Stack Engineer - Java / AI
Added 15 mins ago
RC
GCP Infrastructure & Cloud SRE Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
GCP Professional Cloud Architect/DevOps Engineer certification.
Added 15 mins ago
QW
GCP Cloud SRE Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
GCP Professional Cloud Architect/DevOps Engineer certification preferred.
Added 16 mins ago
H
Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 16 mins ago
ZS
On Premise DevOps Engineer - Fulltime Opportunity
Zodiac Solutions, Inc
Halifax, NS
- Full-time
Added 18 mins ago
SF
Application Security Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 47 mins ago
C
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 47 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 47 mins ago
JG
GCP Infrastructure & Cloud SRE Engineer
J&M Group
Toronto, ON
- Full-time
GCP Professional Cloud Architect/DevOps Engineer certification.
Added 47 mins ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 47 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 48 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 48 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 1 hour ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
…across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud Security posture. You will also…
Added 2 hours ago
G
DevOps- AI Platform Engineer
Galent
Halifax, NS
- Contract
…respect. As a Developer, you will participate in transforming DevOps for Capital…
Added 2 hours ago
Infrastructure Engineer
HTS Engineering Ltd.
Toronto, ON
We are looking for an Infrastructure Engineer to join our specialized, tight-knit technical team. You will be responsible for implementing and supporting the server environments and…
Added 2 hours ago
CT
Data Engineer, Enterprise Data, Insights & Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This…
Added 2 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 3 hours ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
…division. Platform owns the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance, Testing Frameworks, Backend Frameworks, Mobile Frameworks, and SRE.…
Added 3 hours ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Enable zDevOps / modern DevOps practices for mainframe workloads, including version control, automated deployments, and testing
Added 3 hours ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
Enable zDevOps / modern DevOps practices for mainframe workloads, including version control, automated deployments, and testing

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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