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Added 1 min ago
KC
Inside Sales Representative
Kerr Controls & Kerr Smart Energy
London, ON
- Full-time
Provide knowledgeable product support and basic solutions for HVAC/R customers and day-to-day account needs.
Added 1 min ago
TH
Milk Prep Room Aide
The Hospital for Sick Children
Toronto, ON
- Part-time
…specialty feeds utilizing equipment such as balances to weigh product and pharmaceutical mixer to mix powdered…
Added 1 min ago
V
Senior Firmware & FPGA Engineer, SST Control
Verdyn
Oakville, ON
- $110,000 to $160,000 CAD / year
- Full-time
- 5+ years of in-industry embedded firmware for power electronics, renewable energy or automotive - shipped product, not coursework.
Added 1 min ago
A
Software Developer
AppDirect
Montreal, QC
- Full-time
…AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We…
Added 1 min ago
V
Embedded Firmware Engineer - Energy Storage (Controls & Connectivity)
Verdyn
Oakville, ON
- Full-time
Strong problem-solving abilities, clear written and verbal communication, and a collaborative approach to product development.
Added 2 mins ago
B
Senior Manager, Marketing and Commercial Operations
BD
Mississauga, ON · CAN Mississauga - Derry Road West
- Full-time
Organizing, coordinating and implementing product and solutions launch activities: product evaluation, promotional campaign, sales support tools, pricing approach, country roll out,…
Added 2 mins ago
AC
Member Service Representative I (Part-Time, Permanent) Teulon
Access Credit Union
Teulon, MB
- Part-time
Using an advice-based approach, communicate product and service information to secure sale of Access Credit Union’s products and services.
Added 2 mins ago
AC
Member Service Representative I (Full-Time, Permanent) Winkler
Access Credit Union
Winkler, MB
- Full-time
Using an advice-based approach, communicate product and service information to secure sale of Access Credit Union’s products and services.
Added 2 mins ago
AC
Member Service Representative I (Part-Time, 13 Month Term) Winkler
Access Credit Union
Winkler, MB
- Part-time
Using an advice-based approach, communicate product and service information to secure sale of Access Credit Union’s products and services.
Added 2 mins ago
Software Engineer, Web3 Backend
Robinhood
Toronto, ON
Develop product-facing features and platform enhancements that meet strict correctness and scalability standards.
Added 2 mins ago
SG
OTC Derivatives Analyst
S&P Global
Toronto, ON
- Full-time
…and perform critical quality control functions, work on new product development, build, and manage customer relationships, host meetings and forums. This role will enable successful…
Added 2 mins ago
SM
Senior Manager, Business Insights
Spin Master
Toronto, ON
- Full-time
Act as the product manager for our BI tools, translating abstract toy business needs into intuitive, standardized, and self-service dashboard products.
Added 2 mins ago
SM
Backend Platform Engineer - Hapiko
Spin Master
Toronto, ON
- Full-time
…device talks to. We're a small team building a first-of-its-kind product and scaling it globally, and the backend has to stay fast, safe for kids and affordable as we…
Added 2 mins ago
S
Seasonal Retail Sales Associate
Skechers
Barrie, ON
- Part-time
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Added 2 mins ago
S
Retail Assistant Store Manager
Skechers
Regina, SK · SK
- Full-time
Visual Merchandising: Act as a brand ambassador by ensuring product displays and store layouts meet Skechers' high standards for style and innovation.
Added 2 mins ago
S
Part Time Product Specialist
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ON
- Part-time
As a Sales Associate, better known as a “Product Specialist,” at Skechers, you’re not just working a job - you’re joining a team where growth, customer connections, fashion, and comfort are…
Added 2 mins ago
S
Part Time Product Specialist
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As a Sales Associate, better known as a “Product Specialist,” at Skechers, you’re not just working a job - you’re joining a team where growth, customer connections, fashion, and comfort are…
Added 2 mins ago
S
Retail Assistant Store Manager
Skechers
Barrie, ON
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Visual Merchandising: Act as a brand ambassador by ensuring product displays and store layouts meet Skechers' high standards for style and innovation.
Added 2 mins ago
S
Senior Software Developer
SOTI
Mississauga, ON
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…
Added 2 mins ago
SJ
Assistant Store Manager - Peoples Jewellers -The Outlet Collection at Niagara
Signet Jewelers
Niagara-on-the-Lake, ON · Canada - The Outlet Collectio - Niagara-On-The-Lake, ON
- Full-time
…atmosphere of total customer satisfaction; developing skills and product knowledge of team members through training and evaluation; and recruiting and selection of team members. The…
Added 2 mins ago
CO
Director, Data Science
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Toronto, ON
- Full-time
Partner with a cross-functional team of data scientists, AI & ML engineers, and product managers to deliver enterprise products customers love
Added 2 mins ago
CO
Intern, Full Stack Software Engineer - Summer 2027
Capital One
Toronto, ON
- Full-time
Collaborate with Product and Analyst stakeholders to implement enhancements or new applications
Added 2 mins ago
TJ
Brand Manager
The J.M. Smucker Co.
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- Full-time
…well as building an innovation pipeline. Execute plans and product launches with excellence via strong project management, communication and collaboration abilities. Conduct ongoing…
Added 2 mins ago
SB
Gestionnaire d'activités de marques
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- Full-time
Added 2 mins ago
C
Customer Success Manager
CDW
Toronto, ON
- Full-time

Mphasis

Technical Architect

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Oct 24, 2026
Posting language: English
Posted: Oct 6, 2026

Original job 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.

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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, GraphRAG, and agentic solutions on Google Cloud. Establish secure, governed, production-ready AI platforms while collaborating with stakeholders, guiding engineering teams, and advising executives on architecture and investment strategies.

Requirements

Requires 10+ years of overall experience, including 5+ years designing AI/ML solutions and 3+ years delivering enterprise Generative AI and LLM applications. Requires a bachelor's degree in Computer Science or Data Science and expertise in GCP, RAG, LLMs, vector search, AI frameworks, MLOps, security, and governance; relevant Google Cloud and Databricks certifications are preferred.

Skills

Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Google Cloud Platform
Vertex AI
Gemini
Vector Databases
Python
LangChain
LangGraph
LlamaIndex
RAG Architecture
AI Governance
Cloud Architecture
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Gemini
Vertex AI
Google Cloud Platform
Retrieval-Augmented Generation
GraphRAG
Knowledge Graphs
Semantic Search
Embeddings
Vector Search
Vertex AI Vector Search
Pinecone
ChromaDB
FAISS
pgVector
LangChain
LangGraph
LlamaIndex
Python
FastAPI
BigQuery
Google Kubernetes Engine
Vertex AI Pipelines
MLflow
Terraform
Prompt Engineering
Agentic AI
Responsible AI
Google Cloud Professional Cloud Architect

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