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Added 1 month ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Collaborate closely with engineers, software developers, and multidisciplinary teams across the organization.
Added 1 month ago
RB
Director, Conversational Banking
Royal Bank of Canada
Toronto, ON
- Full-time
Lead the delivery and development team of Conversational Architects, designers, and developers in building complex, high-quality conversational AI solution.
Added 1 month ago
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Director, Conversational Banking
RBC
Toronto, ON
- Full-time
Lead the delivery and development team of Conversational Architects, designers, and developers in building complex, high-quality conversational AI solution.
Added 1 month ago
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Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
Algorithm Development: Research and implement novel algorithms and techniques to improve model efficiency, scalability, and robustness.
Added 1 month ago
R
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
- Full-time
Experience in software development with proficiency in Python, Java, or C++.
Added 4 months ago
GD
Systems Engineer, Air & Naval Sonar, Intermediate/Working Level
General Dynamics Missions System International
Ottawa, Ontario
- Full-time
Understanding of Software Engineering principles
Added 4 months ago
AI Engineering Intern, Voice & LLM Systems
Presto
Ontario
You'll gain direct exposure to the full AI development lifecycle, from prototyping new capabilities to supporting production deployments.
Added 5 months ago
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Product Lead
BusPas
Montreal, Quebec
- Full-time
…and roadmap for BusPas’s core offerings. You will drive the development and evolution of our smart urban infrastructure solutions, focusing on integrating edge AI, IoT sensors, and…
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
…empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to…
Added 4 months ago
PS
ML Scientist, All Levels
Perceptive Space
Remote, Canada
- Full-time
- Remote
Use AI-assisted coding tools, automation, and modern development workflows to move faster, debug faster, test better, and accelerate experimentation.
Added 2 months ago
ML Engineer Manager, AI Conversation Platform
Stripe
Toronto, ON
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
journey and making it easier for our customers to buy amazing food. Other times, this means creating stable software solutions that keep our distribution centers running.
Added 4 months ago
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QNX Senior Security Researcher
BlackBerry
Ottawa, ON
- Full-time
QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in…
Added 4 months ago
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QNX Senior Security Researcher
BlackBerry
Ottawa, Ontario
- Full-time
QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail. Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of…
Added 4 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
Added 4 months ago
Software Development Manager
Curve Dental
Calgary, Alberta
As a Software Development Manager at Curve, you'll lead one or more software development teams, working alongside Product Managers, Architects, and other Development Managers to deliver…
Added 4 months ago
SD
Artificial Intelligence (AI) Architect
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
System Staff Development Model. We are a 100% Indigenous-owned company.
Added 4 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
years in software development and system integration
Added 4 months ago
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Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
Added 4 months ago
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Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative…
Added 6 months ago
Agentic AI Researcher
Human Resources
Toronto, Ontario
In this role, you will contribute to the development of self-learning, autonomous, and personalized AI agents that are embedded directly into LG products, including smart home platforms,…

Sia

Generative AI Consultant

294 Rue Saint-Paul Ouest, Montreal, QC, H2Y 2A3, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jul 6, 2026

Original job description

Company Description

Note: La langue de travail pour ce poste est l'anglais. Une description du poste en français est disponible à la fin de cette offre.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, 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 in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

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 over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.

Job Description

Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical teams (Data Science, ML, Platform) to deliver business-centric AI value. You'll guide clients on the optimal path - using techniques like RAG, agents, or fine-tuning - for cost-effective impact.

Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking, prototyping, and validation. You'll orchestrate the full AI workflow, ensuring seamless model integration optimized for performance, security, and scale, while tackling infrastructure challenges. We provide extensive training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference.

Responsibilities:

LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques.
Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications.
Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.).
Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions.
RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution).
Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities.
Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP).
Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes.
Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing.
Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical).
Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference.
Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis).

Qualifications

Education:

Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.
Experience: 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI.

Required Technical Skills:

Strong programming skills, particularly in Python.
Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).
Proven experience in NLP/NLU, vector embeddings, and semantic search.
Hands-on experience with fine-tuning LLMs.
Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.).
Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.).
Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services.
Familiarity with MLOps principles, CI/CD tools, Docker, and Git.

Soft Skills:

Excellent communication skills (written and verbal), ability to explain complex technical concepts simply.
Strong analytical and complex problem-solving abilities.
Team player with the ability to collaborate effectively with diverse profiles.
Curiosity, pioneering spirit, and a demonstrated commitment to continuous learning.

Preferred Qualifications:

Experience building agentic AI systems (e.g., LangGraph, AutoGen).
Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch).
Experience developing conversational AI systems / chatbots.
Familiarity with deep learning frameworks (PyTorch, TensorFlow).
Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP).
Experience deploying models at scale in production environments.

Additional Information

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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Description résumée du poste en français:

Nous recherchons un conseiller en IA générative pour rejoindre son équipe AI & Data, au cœur des projets d’innovation du cabinet. Le rôle consiste à concevoir, déployer et mettre en production des solutions GenAI à fort impact pour des clients issus de secteurs variés.

Le ou la spécialiste interviendra sur l’ensemble du cycle de vie des solutions IA :
choix des modèles, prompt engineering avancé, architectures RAG, fine-tuning, intégration et MLOps, tout en assurant performance, sécurité, conformité et IA responsable.

Le poste implique une forte collaboration avec les équipes Data, ML, plateformes et business, ainsi qu’un rôle-conseil auprès des clients pour identifier les meilleurs cas d’usage et accélérer l’adoption de l’IA générative.

Profil recherché : expérience concrète en IA générative et LLM, maîtrise de Python, NLP, embeddings, frameworks GenAI (LangChain, LlamaIndex), cloud (AWS/Azure/GCP) et bonnes pratiques MLOps.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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More about this job

Responsibilities

Design and deploy sophisticated GenAI and LLM solutions, including RAG architectures and fine-tuned models, across various industries. Act as a technical bridge to deliver business-centric AI value while ensuring security, compliance, and performance.

Requirements

Requires a Master's or Engineering degree in Computer Science or a related field with 1-3+ years of experience in machine learning and LLMs. Proficiency in Python, GenAI frameworks, and cloud platforms is essential.

Skills

Generative AI
Large Language Models
Python
LangChain
LlamaIndex
RAG
Prompt Engineering
MLOps
Fine-tuning
NLP
Cloud Platforms
Vector Embeddings
Model Evaluation
Solution Architecture
CI/CD
Docker

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
GPT-x
Claude
Gemini
Llama
Mistral
RAG
Prompt Engineering
Fine-tuning
MLOps
Python
LangChain
LlamaIndex
AWS
Azure
GCP
Docker
Git
Vector Databases
Pinecone
Chroma
PyTorch
TensorFlow
GDPR
EU AI Act
NLP
Semantic Search
Agentic AI
Model Context Protocol

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