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Added 11 mins ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Lead engineering best practices: CI/CD, infrastructure as code, cost governance, performance tuning, and FinOps reporting (tracking and optimizing cloud/data platform spend).
Added 3 hours ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
Cloud infrastructure, deployment, observability, SRE, incident response, performance, and reliability also sit with you. Other engineers will implement parts. You own the whole system.
Added 3 hours ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…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…
Added 3 hours ago
Applied AI Engineer
Ranger AI
Canada
Full-time
Experience working with APIs, databases, data pipelines, and cloud infrastructure.
Added 4 hours ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Work with Infrastructure and Platform teams to provision and right-size the compute required, rather than owning the GPU environment.
Added 6 hours ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 7 hours ago
Senior DevOps Engineer (GitHub, ADO)
Yochana
Toronto, ON
Contract
8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Automation.
Added 7 hours ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 7 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 7 hours ago
AI Engineer
Urban Ridge Supplies
Guelph, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 7 hours ago
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
Full-time
Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
Added 7 hours ago
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
Full-time
The ideal candidate brings deep expertise in agentic AI systems, knowledge graphs, AI-powered document generation, cloud infrastructure, AI services, CI/CD, observability, and…
Added 7 hours ago
Senior AI Engineer
Urban Ridge Supplies
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 7 hours ago
Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Work hands-on with platform, search, and cloud DevOps engineers to get models running fast and cheap in production
Added 7 hours ago
AI Engineer
Urban Ridge Supplies
Kitchener, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 7 hours ago
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across…
Added 7 hours ago
Principal Software Engineer / Architect – AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
Full-time
Are you a Principal-level software engineer who enjoys solving complex customer problems while remaining deeply hands-on with technology?
Added 7 hours ago
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 7 hours ago
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…forward-deployed / customer-facing engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
Added 7 hours ago
Founding Sales Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…forward-deployed / customer-facing engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
Added 7 hours ago
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
Full-time
…Risk, Legal and Compliance teams to define and agree on AI platform controls, implement those controls through configuration and code changes that make AI capabilities usable in a…
Added 18 hours ago
Platform Engineer
Flexkube Lab Inc.
Toronto, ON · Greater Toronto Area, Canada
Contract
We are seeking a Platform Engineer to automate software delivery and production operations across data pipelines, servers, and application services. The role spans infrastructure…
Added 20 hours ago
Account Executive - Greenfield
Weights & Biases
Toronto, ON
Full-time
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with…
Added 21 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive,…
Added 21 hours ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive,…

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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