Jobs in Canada

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Added 4 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
…cutting-edge technology. By leveraging artificial intelligence, analytics, and automation, we drive value creation, innovation, and performance enhancement. Trusted by thousands of…
Added 4 months ago
A
Part Time - Data Architect
Architech
Toronto, ON
- Part-time
The Data Architect (Azure Data Architect or Data Platform Architect) designs and leads the build-out of scalable, AI-ready data solutions using Microsoft Fabric, Azure, or AWS with…
Added 6 months ago
JC
Machine Learning Engineer - IV (Biometrics)
Jumio Corporation
Montreal, Quebec
- Full-time
Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
Added 2 months ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
Added 4 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
We’re looking for a Software Engineer - Data to design, build, and evolve Forum’s next-generation enterprise data platform using the Microsoft Fabric technology stack (or a suitable…
Added 4 months ago
M
NEW AI Deployment Strategist
Mistral
Montreal, Quebec
- Full-time
Architect end-to-end AI solutions, integrating Mistral’s models and platform into customer workflows and technical infrastructure.
Added 4 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 2 months ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
…performance. As a Senior Software Engineer – Backend, you will architect and develop core platform services, solving complex technical problems and shaping scalable solutions for critical…
Added 2 months ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
This role focuses on building robust, scalable, and user-friendly end-to-end solutions for GenAI applications, combining cutting-edge backend services with intuitive front-end experiences.
Added 2 months ago
Senior Data Platform Engineer
LawZero
Montreal, QC
We are seeking a visionary and highly technical Senior Data Platform Engineer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models.
Added 2 months ago
FC
Technical Architect Sr
Fidelity Canada
Mississauga, ON · Toronto, ON
- Full-time
The Architecture team is tasked with delivering technology solutions that correspond with our divisional strategy. Furthermore, the team directs the development of Fidelity Investments…
Added 4 months ago
S
Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation - merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With…
Added 3 months ago
A
AI LLM Technology Architecture
Accenture
Montreal, QC
- Full-time
Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
This role follows a hybrid schedule, requiring in-office presence 3 days per week
Added 3 months ago
A
Senior AI Lead -Snowflake
Accenture
Remote, Canada
- Full-time
- Remote
This role requires in-office presence in the local ATC office 3 days per week
Added 3 months ago
A
Senior AI Lead: Databricks
Accenture
Remote, Canada
- Full-time
- Remote
This role requires in-office presence in the local ATC office 3 days per week
Added 2 months ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
We are seeking a Senior AI Tech Architect - AI Platforms to help design and implement intelligent, agentic AI platforms. This role is ideal for someone who enjoys hands-on development while…
Added 4 months ago
TA
AI and Integration Architect
Tiger Analytics Inc.
Remote, Canada
- Remote
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the…
Added 4 months ago
Digital Architect
Government of Alberta
Edmonton, Alberta
…excellence across product and platform teams. This Digital Architect role is a visionary and technical leader responsible for shaping the strategic design and overseeing the implementation…
Added 7 months ago
S
Generative AI Consultant
Sia
Toronto, Ontario
- $80,000 to $100,000 CAD / year
- Full-time
Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation - merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With…
Added 2 months ago
Account Executive - Greenfield - Toronto
CoreWeave
Toronto, ON
3+ years selling developer tools, technical infrastructure, or AI/ML software - you can hold a meaningful conversation with an ML engineer, infrastructure architect, or CTO
Added 3 months ago
MC
Senior AI / ML Engineer
MCI Careers
Canada
- Other
You will work closely with data scientists, engineers, product teams, and business leaders to deliver enterprise-grade AI solutions while mentoring technical teams and establishing best…
Added 5 months ago
EN
Distinguished SW Systems Engineer (10343)
Extreme Networks
Toronto, ON
- $120,000 to $200,000 USD / year
- Full-time
…cutting-edge technology. By leveraging artificial intelligence, analytics, and automation, we drive value creation, innovation, and performance enhancement. Trusted by thousands of…
Added 5 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
📍 Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office)
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Architect scalable analytical solutions using modern data science tools and cloud platforms

Accenture

AI LLM Technology Architecture

Montreal, QC, Canada

Full-time

Apply on accenture.wd103.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Jul 28, 2026

Original job description

You Are:

As an experienced and senior AI/LLM Architect, you will play a pivotal role in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems - spanning classical machine learning, generative AI, and agentic systems - ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards.

Within this scope, you will take deep ownership of one or more critical architecture domains - such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference - serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice.

You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture - ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms.

A critical dimension of this role is owning the design of a comprehensive AI context layer - drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content - to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful.

As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery - including architecture decision records (ADRs), component and data flow diagrams, and integration specifications - and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence.

Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.

The Work:

Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.

Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.

Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.

Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.

Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.

Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.

Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.

Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.

Design and implement the context layer - spanning knowledge graphs, vector search, and semantic retrieval - to create reliable, grounded RAG pipelines.

Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.

Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.

Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.

Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.

Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.

Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel

Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.

Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.

Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).

Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.

Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.

Here’s what you need:

Minimum of 5 years of experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.
Minimum of 2 years of experience in the Agentic, LLM and Generative AI space.
Minimum of 4 years of coding experience using python
Minimum of 2 years of experience architecting and operationalizing LLM driven application architecture patterns.
Minimum of 4 years in coding engineering, machine learning, deep learning and NLP solutions and applications.
Minimum of 4 years of experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.
Bachelor's Degree or equivalent
English is required for this position, as the incumbent is required to interact regularly with English-speaking stakeholders across Canada. Given the significant volume of interactions with these English-speaking stakeholders - which is intrinsic to the role - reorganizing business activities to avoid this requirement is not feasible.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the major ity of offers for this role.

It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Information on benefits is here:

Role Location Annual Salary Range

British Columbia/Ontario/New Brunswick $108,800 to $220,400

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Apply on accenture.wd103.myworkdayjobs.com About employer

More about this job

Responsibilities

Design and deliver end-to-end AI platform architectures, focusing on agentic systems, generative AI, and classical machine learning. Lead the technical design of AI context layers, security frameworks, and operational observability to meet enterprise-grade standards.

Requirements

Requires a minimum of 5 years of experience in enterprise AI solutions and 4 years of Python coding and ML architecture. A bachelor's degree and proficiency in English are mandatory for stakeholder interaction.

Skills

AI Architecture
Large Language Models
Generative AI
Agentic Systems
Python
Machine Learning
Deep Learning
NLP
RAG
Vector Search
Knowledge Graphs
Cloud Computing
AI Security
FinOps
Model Orchestration
Data Engineering

Visa sponsorship

Not detected in the job text

Keywords

LLM
Generative AI
Agentic AI
Python
RAG
Knowledge Graphs
Vector Search
MCP Control Plane
AI Gateway
Arize
LangSmith
OTel
IAM
IAP
FinOps
Machine Learning
Deep Learning
NLP
Cloud Vendor
Architecture Decision Records
Data Pipelines
Inference Optimization
AI Security
Observability
Enterprise Architecture
Multi-agent Orchestration
Semantic Retrieval
Model Routing
Big Data
Analytical Engineering

Seniority

Senior

Tools

Python
LangSmith
Arize

Languages

English

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Work requirements

Jobs in Canada