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Added 23 mins ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own…
Added 23 mins ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
We are seeking a highly skilled Software Engineer to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling…
Added 23 mins ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
…development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our…
Added 23 mins ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
…development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our…
Added 37 mins ago
Consulting Network Engineer
ESTI Consulting Services
Saskatoon, SK
Full-time
Opportunities to work on a wide variety of projects across networking, infrastructure, cloud, security, and industrial technology
Added 1 hour ago
Senior Software Engineer
GRICS
Montreal, QC
Full-time
Role Description The Senior Software Engineer will design, develop, and maintain robust software solutions that support education-focused digital products and services. This full-time,…
Added 1 hour ago
Senior Product Security Engineer
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Security Engineer based in Canada
Added 1 hour ago
Director AI Engineering
CGI
Toronto, ON
Full-time
…engineering team will report to this role, including Forward Deployed Engineer / AI Co-op, Agentic AI Engineers, Founding AI Engineers, and the Distinguished AI…
Added 2 hours ago
Back End Developer
Pixieset
Vancouver, BC
Full-time
Research and integrate new technologies to enhance performance, security, and the development process
Added 2 hours ago
Full Stack Engineer
Pixieset
Vancouver, BC
Full-time
Learn and apply new technologies to enhance performance, security, and the development process
Added 2 hours ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
Full-time
We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality. New Position
Added 2 hours ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Cloud Architect, Professional Cloud Network Engineer, or Professional Cloud Security Engineer).
Added 2 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Data Engineer or Professional Cloud Architect).
Added 2 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Cloud Architect, Professional Machine Learning Engineer, or Generative AI Leader).
Added 2 hours ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
…As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital…
Added 2 hours ago
Senior Azure engineer
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Permanent North American Gaeltacht, ON
Full-time
The Senior Azure Engineer (Azure Consultant) is a key technical role responsible for designing, delivering, and supporting modern cloud and hybrid IT platforms for our customers. This…
Added 2 hours ago
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 2 hours ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
Follow data governance, security, and compliance best practices.
Added 3 hours ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
We are seeking a highly skilled Software Engineer to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling…
Added 4 hours ago
IT Site Manager - Infrastructure & Operations
STERIS
Quebec, QC
Full-time
Support and maintain server, storage, networking, cloud, communications, and end-user computing environments.
Added 4 hours ago
DevOps Manager
Raise
Calgary, AB
Contract
Develop, maintain, and continuously improve Infrastructure-as-Code (IaC) solutions for cloud infrastructure, networking, security controls, monitoring, and platform components.
Added 4 hours ago
Cloud Security Architect
Affinity
Vancouver, BC
Contract
On behalf of our public-sector client, Affinity is seeking a Cloud Security Architect to provide senior cloud security architecture, governance and advisory expertise in support of a cloud…
Added 4 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 4 hours ago
Member of Technical Staff 2- EIE
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
Are you an ambitious software engineer looking to solve complex distributed systems challenges and build enterprise-grade platform infrastructure? Join Nutanix as a Member of Technical…
Added 4 hours ago
Senior Java AI Engineer
Epsilon Solutions Ltd.
Toronto, ON
Full-time
Ensure information security standards and requirements are incorporated into all solutions.

Mphasis

Technical Architect- AI

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

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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.

Technical Skills:

Required:

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 null

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More about this job

Responsibilities

Define enterprise AI architecture and strategy, and design scalable Generative AI, RAG, GraphRAG, and agentic solutions on Google Cloud. Lead solution delivery, platform engineering, governance, security, and collaboration with stakeholders while 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. Requires a bachelor's degree in Computer Science or Data Science and expertise in GCP, Vertex AI, LLMs, RAG, vector search, AI frameworks, MLOps, security, and governance.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
Gemini
Vertex AI
OpenAI
Llama
Prompt Engineering
Agentic AI
Multi-Agent Architectures
Retrieval-Augmented Generation
GraphRAG
Knowledge Graphs
Semantic Search
Embeddings
Vector Search
BigQuery
Google Cloud Platform
Cloud Run
Google Kubernetes Engine
Pinecone
ChromaDB
FAISS
LangChain
LangGraph
LlamaIndex
Python
FastAPI
MLflow
Terraform
Responsible AI

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