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Added 27 mins ago
T
Change Manager
TD
Halifax, NS · Markham, ON · Toronto, ON · Montreal, QC
- Full-time
We're looking for an experienced Change Manager to lead complex enterprise, regulatory, and pan-TDI transformation initiatives while partnering with executives, business leaders, and…
Added 41 mins ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 41 mins ago
KG
Enterprise Data Architect – Big Data & Hadoop Modernization
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
We are seeking a visionary Enterprise Data Architect with over 14 years of experience to lead the architecture, optimization, and long-term modernization of our global Big Data platforms.…
Added 41 mins ago
C
Lead Enterprise Architect – Payments & Security
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Lead Enterprise Architect – Payments & Security to join our Financial Services practice and provide technical leadership on a long-term strategic engagement…
Added 42 mins ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 57 mins ago
MH
Implementations Manager
MedMe Health
Toronto, ON
- $105,000 to $145,000 CAD / year
- Full-time
…in North America. We’re hiring a Implementation Manager to lead these enterprise rollouts and establish how we deliver them as we…
Added 57 mins ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
Cloud Computing, Cloud Computing Architecture, Cloud Migrations, Cloud Platform, Cloud Security, Collaboration, DevOps, Enterprise Cloud, Infrastructure as a Service (IaaS), Infrastructure…
Added 57 mins ago
OT
Lead Software Developer
Open Text Corporation
Richmond Hill, ON
- Other
We are expanding our Voltage SecureData development team and looking for a hands-on Lead Software Developer to build and enhance secure, scalable cryptographic libraries, SDKs, and platform…
Added 1 hour ago
TC
VP, Engineering
Thrive Career Wellness Platform
Toronto, ON
- Full-time
You will lead four engineering teams and sixteen engineers building a platform that governments and large enterprises depend on. We are reorganising around three business units, each with…
Added 1 hour ago
Senior Manager, Development
Scotiabank
Toronto, ON
Lead and manage the delivery of large, complex, enterprise‑level initiatives on Azure Databricks Data platform.
Added 1 hour ago
DI
Data Engineering Lead
Definity Insurance Company
Toronto, ON
- Full-time
The Data Engineering Lead is responsible for setting and driving the technological vision, architecture, and development practices for data solutions across Technology Solutions. This role…
Added 2 hours ago
FC
FLIGHT CENTRE TRAVEL GROUP - POWER PLATFORM & AI SOLUTIONS SPECIALIST - VANCOUVER, BC
Flight Centre Travel Group Canada
BC · British Columbia, Canada
- Full-time
Ensure AI-generated Power Platform assets adhere to enterprise standards and best practices.
Added 2 hours ago
Sr. GTM Automation Specialist
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 2 hours ago
Sr. GTM Automation Specialist
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 2 hours ago
SL
Senior Risk Business Analyst
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…analysis expertise and business-facing support for the Archer Risk platform. The role will combine technical acumen, risk awareness, and diplomatic facilitation. This role will elicit,…
Added 2 hours 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 2 hours ago
MANAGER, FINANCE ENABLEMENT, TECHNOLOGY & TRANSFORMATION (HYBRID)
Green Shield Canada
Toronto, ON · Windsor, ON
Lead the continued development and adoption of Workday Adaptive Planning as Finance’s enterprise planning, forecasting, and scenario-modelling platform.
Added 2 hours ago
Senior Solutions Architect
Scotiabank
Toronto, ON
Architectural Leadership: Lead cross-functional architectural discussions, driving strategic decisions and solutions across multiple teams and initiatives.
Added 2 hours ago
Manager, Loyalty & Partnership Infrastructure
Scotiabank
Toronto, ON
Manager of Loyalty and Partnership Infrastructure will lead the Loyalty Program, collaborating with teams and vendors. Key responsibilities include managing vendor initiatives, ensuring…
Added 2 hours 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 2 hours 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 2 hours ago
Product Operations Manager
Brex
Vancouver, BC
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive…
Added 3 hours 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 3 hours ago
MR
Senior Solutions Engineer
Metrics Recruitment
Vancouver, BC · Greater Vancouver, BC
- $115,000 to $140,000 CAD / year
- Full-time
Our client is a Vancouver-headquartered enterprise software company that sits at the intersection of banking and business software. Their platform lets major banks offer treasury and…
Added 3 hours ago
TC
VAM And LMS BSA
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
Solution Design & Implementation: Lead the end-to-end deployment and configuration of VAM and LMS platforms for enterprise-level corporate clients.

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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