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Added 2 hours ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 3 hours ago
H
Software Engineer
Highspring
Montreal, QC
- Full-time
Nous recherchons un(e) Ingénieur(e) logiciel senior Python pour rejoindre une équipe travaillant sur des solutions d'affaires propulsées par l'intelligence artificielle dans un…
Added 4 hours ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Design, develop, and maintain automated data pipelines and curated analytical datasets using SQL, Python/PySpark, and cloud-based analytics platforms.
Added 5 hours ago
Senior Data Engineer
Capgemini
Calgary, AB
…The ideal candidate will have strong expertise in Databricks, PySpark, Python, SQL, Delta Lake, and cloud technologies (Azure/AWS)*, with experience building enterprise-scale data solutions…
Added 6 hours ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
Strong hands-on expertise in AWS Data Services, Snowflake, Snowflake Cortex, Snowflake Horizon Catalog, Apache Iceberg or Snowflake Open Catalog, Python, PySpark, and SQL.
Added 6 hours ago
ES
Senior / Lead Azure Data Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are seeking an experienced Senior / Lead Azure Data Engineer with strong expertise in Microsoft Azure, Azure Data Factory, Azure Databricks, PySpark, and Azure Synapse Analytics. The…
Added 6 hours ago
P
Senior Forward Deployed Engineer – AI & Data Engineering
PeoplePilot
Toronto, ON
- Full-time
- Profile and analyze client data using **Python, pandas, PySpark, and SQL** to assess data quality, coverage, volume, distributions, edge cases, and feasibility.
Added 7 hours ago
CT
Senior Data Scientist, Predictive Modelling
Canadian Tire Corporation
Toronto, ON
- Full-time
Proficiency with programming in Python, PySpark, SQL.
Added 16 hours ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
Build and optimize ETL/ELT workflows using AWS Glue (PySpark/Python).
Added 21 hours ago
PC
AML Analytics Manager
PwC Canada
Toronto, ON
- Full-time
Experience with analytical tools such as SQL, Python, Pyspark, or similar technologies.
Added 21 hours ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 1 day ago
T
Senior Manager, Data Science – Marketing Measurement & Analytics
TD
Toronto, ON
- Full-time
The Senior Manager, Data Science – Marketing Measurement & Analytics will lead a team responsible for advancing how TD measures, understands and optimizes Marketing performance.
Added 1 day ago
P
AML Analytics Manager
PwC
Toronto, ON
- Full-time
Experience with analytical tools such as SQL, Python, Pyspark, or similar technologies.
Added 1 day ago
U
Scientifique des données III-Ing/Data Scientist III- Eng
UKG
Montreal, QC
- Full-time
Maîtrise approfondie de Python (pandas, scikit-learn, PySpark), de SQL/BigQuery et des outils de gestion de versions.
Added 2 days ago
B
Senior Analyst, Data Analytics & Automation Solutions
BMO
Toronto, ON · FCP
- Full-time
Added 2 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in…
Added 2 days ago
M
Senior Consultant, Advanced Analytics
MNP
Edmonton, AB · AB · NS · Calgary, AB · Dartmouth, NS
- Full-time
Working knowledge of SQL and programming or data engineering technologies such as Python, PySpark or Spark.
Added 2 days ago
M
Senior Consultant, Advanced Analytics
MNP
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Working knowledge of SQL and programming or data engineering technologies such as Python, PySpark or Spark.
Added 2 days ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer (Python/Pyspark Developer)
Added 3 days ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Proficiency in Python, PySpark, SQL, and distributed data processing.
Added 3 days ago
AI
Python Developer -Forward Deployed, Pyspark
Apptoza Inc.
Toronto, ON
- Contract
Role: Python Developer -Forward Deployed, Pyspark
Added 3 days ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.

PeoplePilot

Senior Forward Deployed Engineer – AI & Data Engineering

Toronto, ON, Canada

💰 **Pay Rate:** CAD $140–$180 · Full-time

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Job details

Pay: 💰 **Pay Rate:** CAD $140–$180
Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

# Senior Forward Deployed Engineer – AI & Data Engineering

📍 **Location:** Toronto, Ontario, Canada

🏢 **Work Model:** Hybrid

💰 **Pay Rate:** CAD $140–$180

📅 **Experience:** 10+ years

## About the Role

We are looking for a **Senior Forward Deployed Engineer** who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting experience.

In this role, you will work closely with business users, client subject matter experts (SMEs), product owners, and engineering teams to understand complex business workflows, validate solutions using real client data, overcome technical challenges, and drive solutions from prototype to production launch.

You will own delivery through production deployment, stabilization, adoption, and handover.

## Key Responsibilities

Work with client SMEs, product owners, business users, and engineering teams to understand and map workflows, users, data, constraints, and decision points.

Define the first useful release, measurable success criteria, and a practical roadmap from prototype to production.

Profile and analyze client data using **Python, pandas, PySpark, and SQL** to assess data quality, coverage, volume, distributions, edge cases, and feasibility.

Build and validate working solutions using real client data and APIs, then enhance them for production readiness.

Design, develop, and deploy enterprise AI and data applications using **Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms**.

Build Claude-powered applications, copilots, and AI workflows using prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.

Design batch, real-time, and streaming data pipelines across enterprise systems.

Implement **MLOps/LLMOps** capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.

Create evaluation datasets with client SMEs, measure model and LLM quality, perform structured error analysis, and prioritize improvements.

Resolve data access, API, identity, network, security, infrastructure, and deployment blockers.

Own post-go-live monitoring, incident diagnosis, stabilization, performance, reliability, latency, and cost optimization.

Measure adoption and business impact using agreed KPIs.

Complete structured handovers with runbooks, support ownership, and knowledge transfer.

## Required Skills & Qualifications

**10+ years of experience** in data engineering, AI application development, cloud data platforms, and production software engineering.

Strong hands-on expertise in:

Python and PySpark

SQL and REST APIs

FastAPI

Git and Docker

Kubernetes

Airflow

MLflow

CI/CD

Distributed processing

Experience with **Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns**.

Strong understanding of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.

Experience operationalizing **MLOps/LLMOps**, including model lifecycle management, automated deployment, monitoring, rollback, and production support.

Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.

Understanding of IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.

Ability to translate business requirements into scalable technical designs, define non-functional requirements, estimate effort, and drive implementation.

Strong client-facing communication and consulting skills.

## Preferred Qualifications

**Banking and Financial Services (BFSI) domain experience**.

Experience with client discovery, rapid prototyping, solution shaping, workshops, and technical presentations.

Bachelor's degree in a relevant discipline.

Certifications in cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security are preferred.

## Key Skills & Search Keywords

## Ideal Candidate Profile

We are looking for a senior technical professional who can combine hands-on software and data engineering with AI application development and client-facing solution delivery. Candidates should be comfortable working with real enterprise data, rapidly building prototypes, deploying production-ready AI solutions, and owning post-launch outcomes.

## How to Apply

Please share your updated resume highlighting your experience in **Python, PySpark, SQL, AI application development, Claude, RAG, vector databases, MLOps/LLMOps, cloud platforms, and client-facing delivery**.

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More about this job

Responsibilities

Partner with client stakeholders and engineering teams to understand workflows, analyze real-world data, and shape AI and data solutions from prototype through production deployment. Own post-launch stabilization, monitoring, adoption, optimization, and handover while measuring technical performance and business impact.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in Python, PySpark, SQL, APIs, and production tooling. Candidates should also have experience with Claude-based AI applications, RAG, vector databases, MLOps/LLMOps, enterprise cloud and security practices, and client-facing delivery.

Skills

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
RAG
Vector Databases
Semantic Search
Agentic AI
MLOps
LLMOps
Kubernetes
Docker
Airflow

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineering
AI Engineering
Data Engineering
Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
RAG
Vector Databases
Semantic Search
Agentic AI
MLOps
LLMOps
MLflow
Kubernetes
Docker
Airflow
CI/CD
ETL/ELT
Streaming Pipelines
Cloud Data Platforms
DataOps
Distributed Processing
Data Quality
BFSI
Banking and Financial Services
Client-Facing Consulting

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