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Added 4 months ago
SD
Artificial Intelligence (AI) Architect
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with enterprise standards, security, and accessibility
Added 4 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with business and technical requirements
Added 4 months ago
N
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
…workflows. You’ll define how creators build, extend, and interact with the platform - through robust APIs, scalable systems, and intuitive scripting - while enabling AI-driven tooling that…
Added 3 months ago
ST
Senior Data Engineer
Sensor Tower
Remote, Canada
- Full-time
- Remote
Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow.
Added 4 months ago
PS
Advisor, Geopolitics Analytics
Public Sector Pension Investment Board
Montreal, Quebec
- Full-time
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
Added 4 months ago
S
Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
…helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations…
Added 2 months ago
A
Fullstack Software Engineer (x/f/m) - Care Expert Copilot
Alan
Toronto, ON
- Full-time
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed…
Added 4 months ago
Implementation Analyst
Forma.ai
Toronto, Ontario
The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s…
Added 3 months ago
A
AI LLM Technology Architecture
Accenture
Montreal, QC
- Full-time
…engineers, ML engineers, and application developers to execute with clarity and…
Added 4 months ago
M
Senior Test Automation Developer
MNP
Calgary, Alberta
- Full-time
Make an impact with our Technology - Development team as a Senior Test Automation Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation,…
Added 4 months ago
FC
Senior Analyst, Managed Accounts Portfolio Services Group
Fidelity Canada
Toronto, Ontario
- Full-time
Experience with Access, VBA, and programming languages such as Python is an asset.
Added 4 months ago
WT
Sr Data Scientist, AI Products
Wealthsimple Technologies
Remote, Canada
- $151,000 to $189,000 CAD / year
- Full-time
- Remote
Partner with Product Managers, Designers, and Engineers to translate business goals into a technical AI roadmap, ensuring our model development stays aligned with user needs and technical…
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
…technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’…
Added 2 months ago
FEA Engineer
Ametek, Inc.
Levis, QC
…of projects, including in the defense sector, collaborating with a specialized team and external clients. Your day-to-day work will include performing numerical simulations, preparing 3D…
Added 4 months ago
A
Staff Software Engineer, Shared Services ⭐
Achievers
Toronto, ON
- Full-time
…feature flag management, and the base libraries that every Go and Python service at Achievers is built on - all sitting at the critical path of everything we…
Added 2 months ago
Analyst, Project Controls
Aecon
Toronto, ON
…we build connect communities and power future generations. With deep roots in North America and a strong footprint internationally, Aecon brings global expertise and proudly serves public…
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
…service teams collaborate to help create and provide our clients with the relevant solutions to appropriately meet our client’s business…
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data…
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
…service teams collaborate to help create and provide our clients with the relevant solutions to appropriately meet our client’s business…
Added 4 months ago
TB
Character Rigging & Tools Artist
Torn Banner
Ontario
- Full-time
…development studio founded in 2010. We first made our mark with Chivalry: Medieval Warfare, a multi-million copy selling title that redefined melee combat in gaming. Since then, we’ve…
Added 1 month ago
OT
Sr. Systems Administrator
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Expertise in automation using Python, Bash, Terraform, Ansible, and integration with GitLab CI/CD pipelines.
Added 4 months ago
AI Platform Engineer - DevOps
Staffinity Inc
Halifax, Nova Scotia
…explicitly focused on developing value-add services that integrate with an existing DevOps stack, championing developer experience, and accelerating CI/CD pipeline automation within an…
Added 4 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
…skills - you will develop judgment. Your expertise sharpens with every AI strategy you define, every architecture you design, and every executive decision you help…
Added 2 months ago
F
Software Engineer: Full-Stack
Fiscal.ai
Remote, Canada
- Full-time
- Remote
Location: Remote with occasional in-person work in our co-working space in downtown Toronto.
Added 2 months ago
Senior Software Enginner- Global Payments Engineering
Scotiabank
Toronto, ON · Scarborough, ON
Familiar with languages, frameworks, and databases (such as Java/Spring, Node.js/Express.js, Python, MySQL, PostgreSQL, MongoDB, DB2)

Accenture

AI LLM Technology Architecture

Montreal, QC, Canada

Full-time

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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.

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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

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