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Added 10 mins ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 10 mins ago
AT
Process Engineer (medical device)
APTYX Trenton
Trenton, ON
- Full-time
To support its growth strategy, Aptyx Trenton is seeking to fill the role of a Process Engineer at our Trenton location. We are looking for an industry experienced individual who will hit…
Added 10 mins ago
FR
Hardware Design Engineer - Agricultural Robots
Finite Robotics
Kitchener, ON
- Full-time
…production grade for the 2027 fleet. This role (the Hardware Design Engineer) is an important role help make that…
Added 10 mins ago
N
Sr. Principal Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure,…
Added 10 mins ago
S
Internal Product Engineer, Developer Productivity AI
Stripe
Toronto, ON
- Full-time
High data fluency engineer - demonstrated ability to use large datasets to pick out user insights and inform product development.
Added 10 mins ago
II
Software Engineer
Intouch Insight
Ottawa, ON
- Full-time
As a Software Developer on our Product Development team, you'll work with a group of talented developers and product managers to take new product ideas from concept to production features…
Added 10 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 11 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 11 mins ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 11 mins ago
E
iOS Engineer - SE3
eBay
Toronto, ON
- Full-time
As an iOS Software Engineer on the Native Focused Category team, you'll contribute to building and improving features within eBay's core iOS application. You'll work primarily with Swift…
Added 26 mins ago
M
Senior Software Engineer, Web & SDK
Mecka
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
The data we capture is only as valuable as the tools people use to work with it. As Application / Platform Engineer, you build the web viewers and players that make our egocentric data…
Added 26 mins ago
'
Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
Position Title: Principal Engineer, Digital Manufacturing
Added 26 mins ago
Spécialiste en Ingénierie Mécanique - Centre de Données, Mechanical Engineering Specialist – Data Centers, Data Center Field Engineering
Amazon
Varennes, QC
Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.
Added 26 mins ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
Reporting to the Director, AI & Digital Planning, the AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including…
Added 40 mins ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Product Market Fit: With a 98% client retention rate and consistent YOY growth, Rodan has built a reputation for delivering trusted, long-term partnerships with industry leaders.
Added 40 mins ago
IR
Metallurgical Tech. 185331UO
Ivaco Rolling Mills
L'Orignal, ON
- Full-time
Upon request, under the guidance of the Metallurgical Engineer/Supervisor Met. Services, investigate root cause of defects in the product failed in the field; prepares detailed…
Added 40 mins ago
A
Embedded Software Manager
Actalent
Burnaby, BC
- $131,115 to $187,310 CAD / year
- Full-time
Ideal for an Engineering Manager, Software Manager, Team Lead, or an Embedded Engineer looking to move into a larger leadership role while staying close to technology.
Added 40 mins ago
M
Senior Product Engineer
Mecka
Richmond Hill, ON
- $180,000 to $250,000 USD / year
- Full-time
We are hiring a Senior Product Engineer to take products 0 → 1 → scale.
Added 40 mins ago
JW
Software Engineer, Tokenization
Jobs Web3
Toronto, ON
- Full-time
As a Software Engineer, you'll build and own backend services that make tokenized equities work end to end - issuance, custody, and settlement on-chain, kept in sync with traditional…
Added 40 mins ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- $180,000 to $230,000 USD / year
- Full-time
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.
Added 41 mins ago
T
Software Engineer I - Front End
TD
Toronto, ON
- Full-time
Monitor product lifecycles, ensuring specifications and functionality support business objectives and engineering decisions, undertaking re-development where required
Added 56 mins ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Product Market Fit: With a 98% client retention rate and consistent YOY growth, Rodan has built a reputation for delivering trusted, long-term partnerships with industry leaders.
Added 1 hour ago
HA
Systems Engineer II
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
…technical baselines, and ensure mission success throughout the full product…
Added 1 hour ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 1 hour ago
S
Junior AI-Accelerated Developer
Spare
Remote, Canada
- $70,000 to $101,000 CAD / year
- Full-time
- Remote
Apply checklists and QA steps before senior engineer review

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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