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Senior Machine Learning Researcher
Royal Bank of Canada
Toronto, ON · Vancouver, BC · MONTRÉAL, Quebec
Full-time
2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
AI Engineer
Workday
Vancouver, BC
Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
Senior AI Engineer
Mastercard
Vancouver, BC
Full-time
Contribute to the design and development of scalable AI and machine learning systems that address complex business needs, adhering to engineering best practices.
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
AI Modeling Engineer
Palona AI
Toronto, ON
Full-time
Strong machine learning foundations and hands-on experience developing or evaluating production AI systems
AI Modeling Engineer
Palona AI
Toronto, ON
Full-time
Strong machine learning foundations and hands-on experience developing or evaluating production AI systems.
AI/ML Research Engineer, LLM Post-Training & Evaluation
Innodata Inc.
Canada
$110,000 to $240,000 CAD / year
Full-time
Innodata is expanding its team of technical experts in LLM training, post-training, and evaluation systems. As an AI/ML Research Engineer, LLM Training & Evaluation, you will build and…
Staff Engineer - Agentic AI
Royal Bank of Canada
Toronto, ON
Full-time
…financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and…
AI Scientist & Engineer
BDO Canada
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…
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
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…
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…
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…
Lead, AI/Machine Learning Engineer
OMERS
Toronto, ON · Head Office Toronto
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Co-op Engineer - AI Software Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
Internship
AI & ML Integration: Working knowledge of Machine Learning principles and Large Language Models (LLMs) applied to software engineering workflows.
Senior AI Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
8+ years of professional software engineering experience with strong expertise in backend architecture, distributed systems, and API design, plus 1+ years of dedicated focus building…
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
Full-time
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…
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
Full-time · Remote
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…
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…
Senior AI Engineer, Full-Stack - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…senior, cross-functional pods bring together product leaders, machine learning engineers, UX designers, and full-stack builders to create intelligent agents used by millions of people every…
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
Full-time · Remote
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…
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
Full-time · Remote
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…
Forward Deployed 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…
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…
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
$135,000 to $175,000 CAD / year
Full-time
This is a hands-on, zero-to-one team, and you’ll get outsized exposure to how agentic systems are architected and operated in production. You’ll bring strong foundational knowledge of LLMs,…

Tiger Analytics Inc.

Forward Deployed Engineer (Generative AI)

Remote, Canada

Job type: Full-time
Workplace: Remote

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The Forward Deployed Engineer will lead the on-site deployment, integration, and scaling of enterprise Generative AI solutions within customer cloud environments. They will bridge the gap between AI research and production infrastructure by managing LLM orchestration, vector databases, and high-performance cloud resources.

Requirements

Candidates must possess advanced expertise in GCP and Vertex AI architecture, along with hands-on experience in LLM frameworks and container orchestration. Strong programming skills in Python or Go and the ability to act as a technical consultant for enterprise clients are essential.

Experience

5 to 10 years

Working hours

40 hours per week

Skills

Generative AI
Google Cloud Platform
Vertex AI
Large Language Models
Python
Kubernetes
Terraform
LangChain
LlamaIndex
PyTorch
Vector Databases
LLMOps
Data Engineering
Prompt Engineering
Cloud Infrastructure
Machine Learning

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Vertex AI
Google Cloud Platform
LLM
Kubernetes
Terraform
Python
Go
LangChain
LlamaIndex
PyTorch
Hugging Face
Vector Search
Milvus
Pinecone
LLMOps
vLLM
Triton Inference Server
GKE
RAG
Data Engineering
Cloud Infrastructure
Machine Learning
Prompt Engineering
Consulting
Analytics
GPU
TPU
Kubeflow
IAM

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 Google Cloud Platform(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.

Technical Requirements

GCP & Vertex AI Architecture: Advanced knowledge of Vertex AI primitives, including Vertex AI Studio, Model Registry, Endpoint deployment, Vertex AI Pipelines (Kubeflow), and Vertex AI Vector Search.
AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face) optimized for GCP infrastructure.
Vector Databases: Production experience setting up, optimizing, and querying Vertex AI Vector Search, or managed vector stores like Milvus, Pinecone, and pgvector (Cloud SQL/Spanner).
Model Operations (LLMOps): Proficiency in model serving frameworks (vLLM, TGI, Triton Inference Server) deployed via Vertex AI or GKE, alongside robust automated model evaluation pipelines.
Containers & Kubernetes: Deep expertise in Google Kubernetes Engine (GKE) for managing GPU/TPU workloads, autoscaling, and scheduling.
IaC & Automation: Mastery of Terraform to provision secure, complex GCP environments, IAM roles, and Vertex AI resources.
Programming: Strong coding skills in Python (preferred) or Go, with an emphasis on writing clean, concurrent code and utilizing the Google Cloud SDK.

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).
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.

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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