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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 3 months ago
AI Engineering Intern, Voice & LLM Systems
Presto
Ontario
Experiment with LLM-based systems, including prompt design, workflow iteration, and behavioral testing.
Added 1 month ago
UT
Senior DevOps Engineer
Unity Technologies
Montreal, QC
- Full-time
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies…
Added 1 month ago
Staff Full stack Engineer [CONSUMER]
HelloFresh
Toronto, ON
Proficiency and production experience with one or more backend languages such as Golang, Python, or Java.
Added 4 months ago
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QNX Senior Security Researcher
BlackBerry
Ottawa, ON
- Full-time
…hypervisors, middleware, solutions, and development tools, along with support and services delivered by trusted embedded software experts. With a focus on reducing hardware dependency and…
Added 4 months ago
B
QNX Senior Security Researcher
BlackBerry
Ottawa, Ontario
- Full-time
…hypervisors, middleware, solutions, and development tools, along with support and services delivered by trusted embedded software experts. With a focus on reducing hardware dependency and…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Winnipeg, MB
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Regina, SK
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
…unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen…
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
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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 4 months ago
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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 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 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 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 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
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 4 months ago
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Senior AI Engineer
Paytm
Toronto, Ontario
- Full-time
…millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI - risk, fraud, collections, payments, support, developer experience - and…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Vancouver, British Columbia
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Toronto, Ontario
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Montreal, Quebec
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…
Added 4 months ago
MT
Senior Applications Analyst
McCarthy Tétrault LLP
Calgary, Alberta
- Full-time
…business solutions to clients in Canada and around the world. With offices in Toronto, Montréal, Québec City, Calgary and Vancouver, we provide challenging and rewarding career…

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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