Montréal, Qc Level python developer Jobs – 131 Openings This Week

AI LLM Technology Architecture
Accenture —Montréal, QC
- $108,800–$220,400 a year
- Full-time
- Engineering
- English
- Bachelor's
AI Native Full Stack Developer — Senior Manager
Accenture —Montréal, QC
- $119,700–$247,800 a year
- Full-time
- Computer Science
- Engineering
- English
Sr. SEO Specialist
Aylo Careers —Montréal, QC
- Full-time
- Hybrid work
- JavaScript
- AI
- Communication skills
Quick apply
13d
Développeur sénior de plateforme d'identité/Senior Identity Platform Developer
GoTo —Montréal, QC
- Full-time
- Remote
- Microsoft Access
- Azure
- Computer Science
- Wellness program
- Disability insurance
Lead Quantitative Snowflake Developer
TS Imagine —Montréal, QC
- Master's degree
- SQL
- No university degree
Quick apply
7d
Senior Security Architecture Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- DevOps
- English
Senior Backend & AI Foundation Expert
Revelate —Montréal, QC
- Full-time
- Remote
- Bilingual
- English
- Java
- Dental care
- Flexible schedule
Quick apply
Director of Engineering
Stay22 —Montréal, QC
- Full-time
- Hybrid work
- System design
- English
- JavaScript
- Dental care
- Flexible schedule
Consultant principal / Responsable de l'IA - Principal Consultant / Head of AI
TobogganLabs —Montréal, QC
- English
- Master's degree
- Presentation skills
- Disability insurance
- Dental care
Quick apply
Senior Applications Analyst
McCarthy Tétrault LLP —Montréal, QC
- Overtime
- Hybrid work
- Bilingual
- Azure
- Computer Science
- Paid time off
Lead Développeur en données quantitatives (Snowflake)
TS Imagine —Montréal, QC
- Master's degree
- SQL
- In-person
Quick apply
7d
Développeur·euse senior en IA / systèmes agentiques - Senior AI/Agentic Systems Developer
TobogganLabs —Montréal, QC
- Remote
- English
- Master's degree
- AWS
- Disability insurance
- Dental care
Quick apply
Développeur·se logiciel senior (Infrastructure de données & ETL) - Senior Software Developer (Data Infrastructure & ETL)
TobogganLabs —Montréal, QC
- Remote
- English
- SQL
- AWS
- Disability insurance
- Dental care
Quick apply
Développeur(euse) logiciel senior – d'applications // Senior Software Developer –Application
Sony Pictures Imageworks —Montréal, QC
- Bilingual
- Computer Science
- Engineering
- Tuition reimbursement
Quick apply
Développeur·euse plateforme senior - Senior Platform Developer
TobogganLabs —Montréal, QC
- Remote
- Azure
- DevOps
- English
- Disability insurance
- Dental care
Quick apply
Développeur·se DevOps senior - Senior DevOps Developer
TobogganLabs —Montréal, QC
- Remote
- Azure
- DevOps
- English
- Disability insurance
- Dental care
Quick apply
Développeur·euse principal·e (Santé) - Staff Developer (Healthcare)
TobogganLabs —Montréal, QC
- Remote
- English
- Presentation skills
- Software development
- Disability insurance
- Dental care
Quick apply

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AI LLM Technology Architecture

Accenture -
Montréal, QC

Apply Now

Job details

Full-time
$108,800–$220,400 a year

Qualifications

Law
Engineering
English
Bachelor's
Machine learning
Natural language processing
AI
Python
Identity & access management

Full 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 majority 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 $108,800 to $220,400

#LI-NA FY26

Apply Now

Refine Your Search

level python developer jobs in montréal, qc

AI LLM Technology Architecture

AI Native Full Stack Developer — Senior Manager

Sr. SEO Specialist

Développeur sénior de plateforme d'identité/Senior Identity Platform Developer

Lead Quantitative Snowflake Developer

Senior Security Architecture Specialist (Hybrid)

Senior Backend & AI Foundation Expert

Director of Engineering

Consultant principal / Responsable de l'IA - Principal Consultant / Head of AI

Senior Applications Analyst

Lead Développeur en données quantitatives (Snowflake)

Développeur·euse senior en IA / systèmes agentiques - Senior AI/Agentic Systems Developer

Développeur·se logiciel senior (Infrastructure de données & ETL) - Senior Software Developer (Data Infrastructure & ETL)

Développeur(euse) logiciel senior – d'applications // Senior Software Developer –Application

Développeur·euse plateforme senior - Senior Platform Developer

Développeur·se DevOps senior - Senior DevOps Developer

Développeur·euse principal·e (Santé) - Staff Developer (Healthcare)

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