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Added 1 month ago
Senior Applied AI/ML Scientist - Retailer Growth
Faire
Toronto, ON · Kitchener, ON
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores.…
Added 26 days ago
Sr. Computer Vision Engineer
OpenSpace
Canada
We're looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data.…
Added 3 months ago
Machine Learning Engineer - Enterprise
Boson AI
Toronto, Ontario
$150,000 to $400,000 CAD / year
Full-time
About the Role: We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team. In this pivotal role, you will be at the forefront of…
Added 1 month ago
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
Full-time · Remote
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
Forward Deployed AI Engineer
Arkanis Labs
Remote, Canada
$120,000 to $200,000 CAD / year
Full-time · Remote
Neither founder came up the standard way. Both started in the hard sciences and taught themselves computer science and machine learning from there. They worked with the first generation of…
Added 3 months ago
AI and Data Engineer
Blend
Edmonton, Alberta
Full-time
Familiarity with LLMs and modern AI tooling: prompt engineering, fine-tuning, RAG pipelines, orand agent frameworks (LangChain, LangGraph LlamaIndex, CrewAI, or equivalent)
Added 1 month ago
Senior Machine Learning Engineer
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Senior Machine Learning Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered future of financial analysis from the ground…
Added 2 months ago
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and…
Added 10 days ago
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
Full-time
We are looking for a Senior Machine Learning / AI Engineer to help design, build, test and deploy machine learning and AI-based systems for our BullzAI product line.
Added 10 days ago
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
$165,000 to $265,000 USD / year
Full-time
…including prompt engineering, evals, tool use, and integrating LLMs into production…
Added 4 months ago
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 11 days ago
Staff Data Scientist
Purpose Unlimited
Remote, Canada
Full-time · Remote
…evolves its platform for years - and increasingly, how our AI systems understand and serve the clients who depend on…
Added 10 days ago
Lead AI Engineer
Altus Group
Toronto, ON
Full-time
…environments, valuation data, analytics, and evolving agentic systems - all within a culture that values curiosity, experimentation, continuous learning, and pragmatic problem-solving. You…
Added 11 days ago
Staff AI Engineer
Arcadia
Toronto, ON · Greater Toronto Area, Canada
$220,000 to $300,000 CAD / year
Full-time
This is not an AI research role. We're looking for a Staff-level software engineer who can define the architecture and technical direction for large-scale AI infrastructure across…
Added 11 days ago
Senior Software Engineer (Back-end/Server)
Trulioo
Vancouver, BC · Toronto, ON
Full-time
Trulioo is looking for a Senior Software Engineer to lead the architecture and development of high-throughput, low-latency back-end services that power our Document and Biometric…
Added 11 days ago
Senior AI Engineer
Mastercard
Vancouver, BC
Full-time
…Development remit. The remit builds the internal tooling and agentic systems that make AI development faster and more repeatable across Mastercard and works alongside data science teams to…
Added 2 months ago
Applied AI, Forward Deployed Machine Learning Engineer - Montreal
Mistral
Montreal, Quebec
Full-time
You have deep understanding of concepts and algorithms underlying machine learning and LLMs
Added 5 months ago
Engineer – ML & RL
Huawei Canada
Edmonton, Alberta
Full-time
Design and build scalable infrastructure to support Reinforcement Learning, Online Search, Recommendation Systems, large model fine-tuning and evaluation/deployment.
Added 2 months ago
{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
Full-time
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
Added 11 days ago
Innovation, Data & Analytics Team, Senior Data Scientist (AI Lead)
Pfizer
Montreal, QC
Full-time
Hands-on experience evaluating and experimenting with LLMs and agentic systems
Added 12 days ago
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Collaborative Research: Collaborate with other data scientists, machine learning engineers, and domain experts to identify new opportunities for applying LLMs and AI agents, and contribute…
Added 12 days ago
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
Full-time
…AI agents that leverage and fine-tune large language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that…
Added 12 days ago
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
Full-time
Collaborative Research: Collaborate with other data scientists, machine learning engineers, and domain experts to identify new opportunities for applying LLMs and AI agents, and contribute…
Added 12 days ago
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
Full-time
…AI agents that leverage and fine-tune large language models (LLMs) and other deep learning models. As an AI Engineer, you will play a pivotal role in building intelligent systems that…
Added 2 months ago
Machine Learning Engineer , Amazon Customer Service
Amazon
Vancouver, British Columbia
We are looking for a Machine Learning Engineer on the Data Intelligence team which is part of Amazon Customer Service (CS) team, you will design and build robust, scalable AI/ML systems and…

Tiger Analytics

Forward Deployment Engineer (Generative AI)

Canada

Job type: Full-time
Posting language: English
Posted: May 18, 2026

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Original job description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Key Responsibilities-

AI Solution Deployment: Deploy, fine-tune, and optimize large-scale Gen AI models and LLM orchestration frameworks within customer cloud environments
Infrastructure Engineering: Architect scalable infrastructure for AI workloads utilizing GPU/TPU orchestration, high-performance storage, and low-latency networking
Data & Retrieval Pipelines: Design and implement high-throughput data ingestion pipelines and Vector Database architectures for Retrieval-Augmented Generation (RAG)
Multi-Cloud Management: Build agnostic, resilient cloud deployments across AWS, Azure, and GCP using Infrastructure as Code (IaC)
Technical Advocacy: Act as the primary technical consultant, guiding enterprise clients through AI safety, prompt engineering patterns, and inference cost optimization
Product Collaboration: Feed edge-case deployment insights back to core AI research and platform engineering teams to improve product robustness

Technical Requirements-

AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face)
Vector Databases: Production experience setting up and querying vector stores (Milvus, Pinecone, Qdrant, Chroma, or pgvector)
Model Operations (LLMOps): Proficiency in model serving frameworks (vLLM, TGI, Triton Inference Server) and evaluation tools
Cloud & Containers: Advanced knowledge of cloud AI primitives (AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI) and Kubernetes (K8s) for GPU workloads
IaC & Automation: Mastery of Terraform or OpenTofu to provision complex multi-cloud compute environments
Programming: Strong coding skills in Python (preferred) or Go, with an emphasis on writing clean, concurrent code

Soft Skills-

AI Consultation: Ability to manage customer expectations around LLM non-determinism, hallucinations, and performance trade-offs
Rapid Adaptability: Passion for keeping pace with the weekly advancements in the Generative AI landscape
Critical Debugging: Exceptional skill in isolating errors across complex software layers, from GPU drivers up to prompt engineering logic
Mobility: Willingness to travel to client sites to lead high-stakes, on-site deployment sprints

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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More about this job

Responsibilities

The Forward Deployment Engineer drives the on-site deployment, integration, and scaling of enterprise Generative AI solutions. This role involves collaborating with customer engineering teams to operationalize Large Language Models and retrieval systems.

Requirements

Candidates should have hands-on experience with LLM orchestration tools and deep learning frameworks, as well as proficiency in model serving frameworks and cloud AI primitives. Strong coding skills in Python or Go are preferred, along with the ability to manage customer expectations and debug complex software layers.

Skills

Generative AI
Machine Learning
Data Science
AI
Cloud Computing
Infrastructure Engineering
Python
Kubernetes
Terraform
Deep Learning
Model Operations
AI Consultation
Debugging
Data Pipelines
Vector Databases
Multi-Cloud Management

Benefits

Career Development
Individual Responsibility

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Machine Learning
Data Science
AI
Large Language Models
LLM Orchestration
Cloud Environments
AWS
Azure
GCP
Infrastructure as Code
GPU
TPU
Data Pipelines
Vector Databases
Model Serving
Kubernetes
Python
Go
Terraform
OpenTofu

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