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Added 1 month ago
Sr. AI Engineer
Softchoice
NL · Toronto, ON · Ottawa, ON · Oakville, ON · Calgary, AB · NB · NS · AB · BC · British Columbia, Brit · Nova Scotia, Nova
AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset.
Added 18 days ago
Staff Product Engineer - Search FX (Discovery Experience)
Faire
Kitchener, ON · Toronto, ON
As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations,…
Added 1 month ago
Backend Software Engineer (Rust)
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are looking for a Backend Software Engineer with strong Rust expertise to build secure, scalable, and high-performance services for our Next-Gen Human Identity (NHI) Platform.
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 3 days ago
Senior Software Engineer, Customer Engineering
NetBrain
Toronto, ON
Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud…
Added 4 days ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
…all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500…
Added 12 days ago
AI/ML DevOps Engineer
CI Financial
Toronto, ON
Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 16 days ago
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 19 days ago
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 17 days ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Exposure to cloud platforms (Azure, AWS, or GCP)
Added 26 days ago
Senior Full Stack Software Engineer
Motion Recruitment
Toronto, ON
$160,000 to $220,000 USD / year
Full-time
…space. This full-time opportunity is ideal for a Senior Software Engineer who enjoys working across Java, Spring Boot, Python, React, cloud technologies, and AI-powered platforms to create…
Added 26 days ago
Senior Machine Learning Engineer
Motion Recruitment
Toronto, ON
$150,000 to $250,000 USD / year
Full-time
…full-time opportunity is ideal for an experienced Machine Learning Engineer looking to work with Python, large language models (LLMs), generative AI, agentic systems, cloud platforms, and…
Added 23 days ago
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Vancouver, BC
Full-time
…high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to…
Added 1 month ago
Senior AI Platform Engineer
Luxoft
Toronto, ON
Contract
Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable…
Added 1 month ago
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Markham, ON
Full-time
…high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to…
Added 1 month ago
Security Engineer
R Systems
Mississauga, ON
Contract
As a Security Engineer at R Systems, you will play a key role in implementing, managing, and optimizing enterprise security technologies and controls. You will work closely with security…
Added 1 month ago
AWS Data Engineer
J&M Group
Toronto, ON
Full-time
AWS Services Experience (AI-focused): Hands-on experience with AWS services critical to AI projects, including:
Added 1 month ago
Engineering Manager
Wattpad
Toronto, ON
Full-time
…has democratized storytelling for a new generation of diverse Gen Z writers and their fans. Wattpad is part of WEBTOON Entertainment’s IP & Creator Ecosystem, where approximately 155…
Added 26 days ago
Ingénieur(e) Full Stack Senior, HTS Assist// Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
Full-time · Remote
…ainsi qu'une expérience en infrastructure infonuagique (GCP ou…
Added 26 days ago
Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
$200,000 to $250,000 CAD / year
Full-time · Remote
…largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front…
Added 1 month ago
Machine Learning Engineer
GPTZero
Toronto, ON
$120,000 to $160,000 CAD / year
Full-time
In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research,…

Tiger Analytics Inc.

Forward Deployed Engineer (Generative AI)

Remote, Canada

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

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Original job description

Tiger Analytics is looking for experienced Forward Deployed 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 Deployed 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.

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.

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 role focuses on the on-site deployment, integration, and scaling of enterprise Generative AI solutions within customer cloud environments. It involves bridging the gap between AI research and production-grade infrastructure while collaborating with cross-functional teams to ensure business value.

Requirements

Candidates need hands-on experience with LLM orchestration tools, vector databases, and deep learning frameworks like PyTorch. Proficiency in multi-cloud environments (AWS, Azure, GCP), Kubernetes, and Infrastructure as Code (Terraform) is required.

Skills

Generative AI
LLM Orchestration
PyTorch
Hugging Face
Vector Databases
LLMOps
Kubernetes
Terraform
Python
AWS
Azure
GCP
RAG
Prompt Engineering
Infrastructure as Code
Cloud Architecture

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
LangChain
LlamaIndex
AutoGen
PyTorch
Hugging Face
Milvus
Pinecone
Qdrant
Chroma
Pgvector
vLLM
Triton Inference Server
AWS Bedrock
SageMaker
Azure OpenAI
GCP Vertex AI
Kubernetes
Terraform
OpenTofu
Python
Go
RAG
LLMOps
GPU Orchestration
Multi-cloud
Prompt Engineering
AI Safety
Inference Optimization

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