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Added 13 mins ago
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Senior Staff Developer
Benevity
Remote, Canada
- $137,800 to $179,080 CAD / year
- Full-time
- Remote
As a DevEX Senior Staff Developer at Benevity, you will lead Developer Experience and SDLC modernization across our technology organization. Sitting at the intersection of hands-on platform…
Added 13 mins ago
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Senior Staff Developer
Benevity
Remote, Canada
- Full-time
- Remote
As a DevEX Senior Staff Developer at Benevity, you will lead Developer Experience and SDLC modernization across our technology organization. Sitting at the intersection of hands-on platform…
Added 13 mins ago
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Senior Product Manager (KYC - Fraud & Risk)
Trulioo
Remote, Canada
- Full-time
- Remote
Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat…
Added 26 mins ago
EE
Commercial Services Analyst
Emera Energy
Halifax, NS
- Full-time
…(TSX: EMA, NYSE: EMA). We market and trade natural gas and power and provide a full suite of energy management…
Added 57 mins ago
IW
Business Systems Analyst & Developer - Data, AI & Agentic Automation
Innotech Windows + Doors
Langley (District), BC · Langley, BC
- Full-time
Design, build, and maintain AI assistants and agents using ChatGPT, Claude, Copilot Studio, Power Platform, or comparable tools, including prompts, tool definitions, knowledge sources, and…
Added 59 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Establish reusable platform patterns that drive scale across business lines.
Added 59 mins ago
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Conseiller(ère) en ingénierie de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Connaissance approfondie de Power BI et la Power Platform (Power Automate, Power Apps, Copilot Studio);
Added 59 mins ago
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Conseiller(ère) en ingénierie de données sénior
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Connaissance approfondie de Power BI et la Power Platform (Power Automate, Power Apps, Copilot Studio);
Added 59 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
Evaluate emerging technologies, including AI-assisted DevOps tools and Microsoft Power Platform, to improve operational efficiency and service delivery.
Added 1 hour ago
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Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
We are hiring a Software Developer to build - end to end - the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier…
Added 1 hour ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
Evaluate emerging technologies, including AI-assisted DevOps tools and Microsoft Power Platform, to improve operational efficiency and service delivery.
Added 1 hour ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Establish reusable platform patterns that drive scale across business lines.
Added 1 hour ago
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Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
The Supply Chain Analytics Squad builds and maintains data pipelines that power analytics and drive data-informed decision-making for our supply chain partners. We work in an agile,…
Added 1 hour ago
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Analyst, Investment Banking, Energy
BMO
Calgary, AB · CALG
- Full-time
…products and services to clients in the oil & gas production, power and energy infrastructure, and energy services sectors through an integrated Capital Markets platform, including M&A…
Added 1 hour ago
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Director, PDS
JLL
Vancouver, BC
- Full-time
Utilizing a custom project management platform/technology.
Added 1 hour ago
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Data Valuation Analyst
Maarut
Montreal, QC
- Contract
Power BI on the platform side (Service, gateway), not only on the report side,
Added 2 hours ago
MC
Member Services Representative - Part Time
Meridian Credit Union
Woodstock, ON
- $45,000 to $49,900 CAD / year
- Part-time
Added 2 hours ago
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Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 2 hours ago
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Business System Analyst
SMARTFOX
Canada
- Full-time
Certifications: Salesforce Administrator/Business Analyst, NetSuite, Workday, CBAP, ECBA, PMI-PBA, ITIL, Scrum, or Microsoft Power Platform
Added 2 hours ago
Business Systems Analyst, Systems & Data Transformation
Munich Re
Toronto, ON
Proven experience supporting large-scale system implementations, modernization initiatives, integrations, migrations, enhancements, or vendor platform projects.
Added 2 hours ago
VI
Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Veriday is seeking an experienced Senior Microsoft Dynamics CRM Developer / Technical Architect to join our client team based in Toronto for a 6-month contract position with the possibility…
Added 2 hours ago
Salesforce Administrator
Aviva
Toronto, ON · Markham, ON
The Salesforce Administrator will be responsible for platform configuration, user support, data quality, process automation, reporting, security management, and continuous improvement…
Added 2 hours ago
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Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 2 hours ago
SE
Senior Electrical Designer
S&C Electric Company
Toronto, ON · Etobicoke, ON
- Full-time
…impact. You’ll help transform the grid for resilient and reliable power worldwide. S&C has a history of more than 70 years of innovation in Canada. We continue this legacy as a trusted,…
Added 2 hours ago
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RQ11713 - Software Developer - ETL - Senior
Maarut
Toronto, ON
- Contract
Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI

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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