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Added 23 mins ago
M
Sr. Software Developer
McKesson
Mississauga, ON
- Full-time
You will work across engineering, architecture, product, security, and platform teams to develop API-first services, improve system reliability, and modernize application delivery using…
Added 23 mins ago
OD
Salesforce Lead
OSI Digital
Vancouver, BC
- $40,000 to $130,000 CAD / year
- Full-time
10+ years of CRM and enterprise application experience, with 7+ years in Salesforce platform implementations.
Added 38 mins ago
Senior Solutions Architect
Scotiabank
Toronto, ON
The Senior Solutions Architect will work with the Group Treasury business and technology partners to define and evolve the architecture supporting Treasury systems.
Added 38 mins ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
…stand up, operate, govern, and evolve Salesforce Data360 as the enterprise customer data platform, increase AI and analytics capabilities across Salesforce user…
Added 53 mins ago
G
Principal AI Solutions Architect, Customer Success
Genesys
AB · Toronto, ON · ON · Quebec, QC
- Full-time
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations…
Added 1 hour ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 1 hour ago
TC
VAM And LMS BSA
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
A Job Description (JD) containing these terms typically targets roles like Business Analyst, Product Manager, Solution Architect, Technical Lead, or Implementation Specialist within a…
Added 1 hour ago
R
Principal Enterprise Architect
RBC
Toronto, ON
- Full-time
The Principal Enterprise Architect (EA) is responsible for developing enterprise vision and target state architecture for CNB and the assigned business domains within the bank aligned to…
Added 1 hour ago
L
Director of Customer Success
LumiQ
Toronto, ON
- Full-time
At LumiQ, we’re on a mission to make professional education enjoyable. As a modern, audio-first learning platform, we empower accounting and finance professionals to fulfill their…
Added 1 hour ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
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…
Added 2 hours ago
M
RQ11475 - Software Developer - CRM - Senior
Maarut
Toronto, ON
- Contract
Design scalable and secure enterprise solutions leveraging Dynamics 365, Power Platform, Azure, and Dataverse.
Added 3 hours ago
AC
Data and Modelling Engineer
Amphenol Communications Solutions
Markham, ON
- Full-time
…engineer will work closely with business stakeholders, the Data Architect, and the existing Data Engineer to build a strong connection between enterprise data and business…
Added 3 hours ago
AC
Enterprise Data Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
We are seeking an Enterprise Data Architect to join our IT Applications team. This role will establish a secure, scalable, governed, and business-driven data foundation across ERP, MES,…
Added 3 hours ago
MI
Solution Architect
MFS Investment Management
Toronto, ON
- Full-time
Design and architect end-to-end solutions using Microsoft 365, Azure, Power Platform, and integration services, ensuring alignment with enterprise standards and governance.
Added 3 hours ago
M
Lead Cloud Solution Architect
McKesson
Mississauga, ON
- Full-time
The Lead Cloud Solution Architect provides technical and architectural leadership across the enterprise, shaping cloud strategy, defining standards, and guiding complex implementations that…
Added 4 hours ago
TC
Salesforce Revenue Cloud Architect
Tata Consultancy Services
ON · Ontario, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect and design Salesforce Revenue Cloud solutions supporting Quote-to-Cash processes.
Added 4 hours ago
KC
Senior Consultant - Data & Solution Architect (MS Fabric)
Keyrus Canada
Montreal, QC
- Full-time
…systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we…
Added 4 hours ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are building a highly secure and scalable cloud-native platform for non-human identity governance. We are looking for a Software Architect to define and implement the technical…
Added 4 hours ago
O
Sr. Practice Consultant-Public Cloud
OnX
Toronto, ON
- Full-time
…Fortune 500 clients in highly regulated industries. OnX brings enterprise-scale resources with the accountability and flexibility of a partner who stays with clients at every stage - from…
Added 4 hours ago
SM
RQ10989 – Business Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior Business Architect to support the enhancement of the Forest Resources Inventory Information Management System (FRI IMS) and the modernization of its Enterprise…
Added 4 hours ago
TC
GCP Infrastructure & Cloud SRE Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Build and manage enterprise-scale cloud platforms on Google Cloud Platform (GCP).
Added 5 hours ago
AS
Senior AWS Snowflake Architect
Aaura Softwares
Markham, ON
- Temporary
· Experience in evaluating the data technology platform including da ta governance suites, data security
Added 5 hours ago
MF
Cloud Platform Engineer
MTY Food Group
Montreal, QC
- Full-time
We are seeking a skilled and proactive Cloud Platform Engineer to manage, monitor, and optimize our Amazon Web Services (AWS) and Google Cloud Platform (GCP) environments. This role will be…
Added 10 hours ago
YR
Enterprise Cloud Architect (Enterprise Architect)
York Region (The Regional Municipality of York)
Newmarket, ON
- Full-time
Reporting to the ITS Projects Manager or designate within Information Technology Services, the Enterprise Cloud Architect serves as the cloud domain architect within the Enterprise…
Added 14 hours ago
N
Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment,…

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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