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Added 5 mins ago
Process Team Leader - Automation, Backend, Test and SPCM
Excelitas Technologies
Vaudreuil-Dorion, QC
…Automation Engineer/Scientist supporting Assembly, Test, and other Production…
Added 5 mins ago
S
Geospatial Analyst
Stantec
Waterloo, ON
- Full-time
…which includes mapping applications, spatial analysis, and map production; as well as project support for assigned projects. This is a full-time position working with our Ontario…
Added 5 mins ago
Software Developer, Subsurface Applications (Associate - Senior) Landmark
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Calgary, AB
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop…
Added 20 mins ago
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Enterprise Account Executive
Airbyte
Remote, Canada
- $290,000 to $350,000 CAD / year
- Full-time
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Added 33 mins ago
AC
Gestionnaire Comptable
Aston Carter
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- $65 to $70 CAD / hour
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Le ou la gestionnaire comptable assume la responsabilité complète de la production et de la gestion de linformation financière liée à la catégorie dactifs en ressources naturelles. Cette…
Added 33 mins ago
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Supervisor, Mine Operations
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- $123,000 to $152,000 CAD / year
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…assigning work and supervising the Mine Operation crews in meeting production objectives in a safe, environmentally responsible, and efficient manner. The position follows a 4x4 schedule…
Added 33 mins ago
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Senior Marketing Manager
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Added 33 mins ago
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Junior Buyer
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Added 33 mins ago
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Professional, Engineering, Materials and Processes
Bombardier
Montreal, QC
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Collaborate with Production, Methods, Quality & Logistics to resolve day to day production issues that are related to materials and processes
Added 35 mins ago
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Business Unit Manager
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Added 35 mins ago
In Store Bakery - Certified Baker TF
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Lead, train, and support bakery team members to deliver outstanding customer service and maintain a positive, engaging work environment.
Added 35 mins ago
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Solutions Design IT Specialist
TD
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- Full-time
Lead the creation of solution options and ultimately a comprehensive end-to-end solution and coordinate relevant stakeholders, as required to support development initiatives
Added 35 mins ago
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Co-Op, Supply Chain Planning
Moderna
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Reporting to the Site Supply Chain Lead and working closely with the Site Planning team, the Supply Chain Planning Co-Op will support planning activities for Moderna's Laval manufacturing…
Added 35 mins ago
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Added 35 mins ago
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Sr. Software Developer
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- Full-time
● Lead technical design discussions and help define software architecture, engineering standards, and reusable development patterns.
Added 35 mins ago
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Added 47 mins ago
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Collision Centre General Manager
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Strong Leadership and clear communication skills to lead the team toward achieving goals
Added 47 mins ago
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Added 50 mins ago
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Added 50 mins ago
Quality Manager
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Toronto, ON
Schedule and lead regular audits and site inspections to identify gaps and corrective actions, verify compliance with approved drawings, standards, and specifications, and document findings…
Added 50 mins ago
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Added 50 mins ago
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Manager of Loyalty and Partnership Infrastructure will lead the Loyalty Program, collaborating with teams and vendors. Key responsibilities include managing vendor initiatives, ensuring…
Added 50 mins ago
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Principal Hardware Engineer
Broadcom
Ottawa, ON
- $114,400 to $183,000 CAD / year
- Full-time
Demonstrate lifecycle product ownership of complex products. Participating in a cross-functional team from product inception to volume production
Added 50 mins ago
B
Principal Mechanical Engineer
Broadcom
Ottawa, ON
- $114,400 to $183,000 CAD / year
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Added 50 mins ago
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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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