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Added 5 months ago
TA
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
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…
Added 1 month ago
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the…
Added 3 months ago
PG
Senior Cloud Security Engineer, Information Security
Peoples Group
Vancouver, British Columbia · Toronto, Ontario · Alberta
- Full-time
We’re hiring a Senior DevSecOps Engineer with 8–10+ years of experience, deep multi-cloud expertise (AWS + Azure), strong Terraform and the ability to drive technical strategy across a…
Added 1 month ago
AS
Azure DevOps & Infrastructure Lead (Backbase)
Aequilibrium Software Inc.
Remote, Canada
- $55 to $80 CAD / hour
- Full-time
- Remote
We are seeking an experienced Azure DevOps & Infrastructure Lead to architect and provision the foundational cloud environments required to run a new digital banking platform securely. This…
Added 1 month ago
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
This senior expert role is pivotal in advancing PowerCo’s data-driven and cloud transformation. You will architect and lead Azure-based data and compute platforms that support predictive…
Added 3 months ago
HB
Senior DevOps Engineer
Haventree Bank
Toronto, ON
- Full-time
Reporting to the Lead DevOps Engineer at Haventree Bank, you will be responsible for designing, implementing and managing a secure and efficient DevOps process as well as cloud…
Added 4 months ago
H
Senior DevOps Engineer
Huzzle
Remote, Canada
- Full-time
- Remote
Familiarity with AWS, Azure, or Google Cloud Platform.
Added 5 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
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…
Added 5 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
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…
Added 2 months ago
Senior Platform Engineer
Scotiabank
Toronto, Ontario
Lead the architecture, design, and delivery of hybrid cloud platforms across on-premises environments and public cloud (Google Cloud Platform and Microsoft Azure)

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Tiger Analytics Inc.

Forward Deployed Engineer (Generative AI)

Remote, Canada

Remote

Full-time

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Job details

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

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 management (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
Go
AWS
Azure
GCP
RAG
Prompt Engineering
Cloud Infrastructure

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
Inference Optimization
Data Pipelines

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