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Added 18 days ago
T
Senior Data Engineer
Tactable
Toronto, ON
- Full-time
The Role: Senior Data Engineer (Cloud, Python)
Added 18 days ago
VC
Junior Data Developer
Vancouver Coastal Health
Vancouver, BC
- $35.37 to $50.85 CAD / hour
- Full-time
Experience with cloud platforms such as Azure, AWS, or GCP and related data services (e.g Azure Data Factory, Azure Databricks, Azure Data Lake) would be an asset.
Added 18 days ago
GT
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $95 CAD / hour
- Contract
…journey and is open to exploring the advanced functionality of Databricks. The successful contractor will work on a daily basis with the Data Engineer Lead and client stakeholders, within a…
Added 18 days ago
AS
Data Speaclist
AgileGrid Solutions
Canada
- Full-time
We are seeking a highly skilled Senior Data Specialist to join our dynamic team. In this role, you will provide technical leadership in designing, developing, and optimizing cloud-native…
Added 19 days ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
…ML, and Cloud Migration & Modernization - 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 19 days ago
MR
IT Reporting Specialist
MHI RJ Aviation Group
Mississauga, ON
- Full-time
IT Reporting Specialist role is a highly visible role interfacing directly with senior business leaders, IT, and data platform teams and is instrumental in ensuring MHIRJ’s leaders have the…
Added 24 days ago
C
Senior Data Engineering Consultant
CGI
Vancouver, BC
- Full-time
…solution to a client in the Public sector. We are seeking a Senior Data Engineering Consultant to join our growing data practice and help clients deliver modern, secure, and scalable…
Added 29 days ago
AG
Senior AI Developer
Aduna Global
Montreal, QC
- Full-time
Senior AI Developer / Développeur(se) IA senior
Added 24 days ago
KT
Senior Data Technologist
Kal Tire
Vernon, BC
- Full-time
Experience with the Azure data platform. Ideal candidate has experience with all the following: Data Factory, Databricks, Synapse Analytics, Azure Synapse Link, Azure Data Lake, Power BI,…
Added 24 days ago
CT
Principal Architect - AI and Data Platforms
Canadian Tire Corporation
Calgary, AB · Mississauga, ON · Oakville, ON · Toronto, ON
- Full-time
Architect scalable AI/ML systems leveraging cloud platforms such as Azure (preferred), or GCP
Added 25 days ago
Senior Consultant - Python Developer (Data Solutions & Analytics)
EY
Toronto, ON · Montreal, QC
As a Senior Consultant within our Banking Technology practice, we are seeking a highly motivated Python Developer to join our team. The ideal candidate will have strong experience in…
Added 25 days ago
Senior Visualization Professional
Capgemini
Toronto, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 25 days ago
Velocity - AI Engineer Internship/Co-Op - Winter 2027
Scotiabank
Toronto, ON
Azure and/or Google Cloud Platform environments.
Added 29 days ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
Azure AI Foundry/OpenAI, Amazon Bedrock/SageMaker or Databricks.
Added 1 month ago
RS
Sr Manager, Data Product Management
Rogers Sports & Media
Toronto, ON
- Full-time
Responsibilities include aligning with stakeholders across a hybrid-cloud ecosystem including Microsoft Azure, Databricks, Snowflake, and on-premises, while ensuring best practices for data…
Added 1 month ago
TC
Senior Solution Architect (Data & AI Solution Specialist)
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
MR
Senior Azure Cloud Engineer
Motion Recruitment
Toronto, ON
- $78 to $92 USD / hour
- Contract
A senior cloud engineering opportunity is available with an enterprise financial organization undertaking a significant Azure modernization initiative.
Added 1 month ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes.
Added 29 days ago
Senior Manager, Data Product Management - Bilingual English/Spanish
Scotiabank
Toronto, ON
Knowledge of modern data platforms and cloud environments (e.g., GCP, Azure, Databricks) is an asset
Added 29 days ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 27 days ago
Senior Data Software Engineer
Scotiabank
Toronto, ON
As a Senior Software Engineer on Scotiabank’s Data & AI Technology team, you will lead the design, development and scaling of our enterprise data catalog and data management solutions…
Added 1 month ago
GM
Senior Systems Engineering
General Motors
Oshawa, ON · Markham, ON
- Full-time
The Senior Systems Engineer will join the Systems Engineering team within the Device Data Capture and Data Engineering organization and help define, integrate, and ensure validation…
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 1 month ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
…expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and lifecycle…

Exadel

Middle/Senior Forward Deployed Engineer (Python, AI)

Canada

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Job details

Posting language: English
Posted: Sep 3, 2026

Original job description

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do

Embed within client environments, working onsite with the people performing the work and the executives sponsoring it.
Lead discovery sessions to understand the client’s business, systems, data, operating model, and underlying challenges.
Translate ambiguous business problems into prioritized and quantified opportunity maps, supported by clear baselines and accountable client owners.
Identify which opportunities are genuinely worth pursuing and advise against initiatives that do not provide sufficient business value.
Build trust in the client’s data and deliver working, data-grounded prototypes within the first weeks of an engagement.
Design, develop, debug, and deploy production-grade AI agents, integrations, data pipelines, and applications within client systems.
Remain hands-on in the code whenever technical progress or delivery outcomes depend on it.
Define evaluation frameworks, quality thresholds, regression gates, and monitoring strategies for AI and agentic systems.
Monitor model and data drift and design effective human-in-the-loop controls for high-impact workflows.
Scope, sequence, and coordinate delivery across engineers, architects, and specialist contributors.
Make explicit trade-offs between scope, delivery speed, quality, and business value.
Orchestrate Exadel Colleague to accelerate delivery and scale successful implementation patterns.
Convert successful deployments into reusable reference architectures, agent templates, integration blueprints, evaluation frameworks, and delivery playbooks.
Produce clear technical documentation, operational runbooks, and knowledge-transfer materials.
Train client teams to independently operate, maintain, and extend delivered solutions.
For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes.
For Senior FDEs, mentor other Forward Deployed Engineers and ensure reusable delivery patterns are incorporated into Exadel Colleague.

What You Bring

Mid-level hands-on technical experience, including client-facing capacity.
For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods.
A demonstrated record of delivering production software used by real users and business teams.
Practical experience designing, deploying, and debugging LLM-backed or agentic systems in production.
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Strong knowledge of prompt and context engineering, agent architecture, tool and function calling, and retrieval-augmented generation.
Experience with Model Context Protocol servers, sub-agents, skills, and agent development frameworks such as the OpenAI Agents SDK or Claude SDKs.
Experience designing evaluation harnesses, quality thresholds, regression gates, drift monitoring, and observability for non-deterministic systems.
Understanding of human-in-the-loop control design and where human review should remain within automated workflows.
Experience with data modeling, domain ontologies, ETL or ELT pipelines, relational databases, vector stores, and embedding pipelines.
Experience building and deploying solutions on AWS, Azure, or GCP.
Familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, serverless architectures, and enterprise deployment patterns.
Experience integrating with REST or GraphQL APIs, webhooks, event-streaming platforms, identity systems, and SSO.
High agency and sound judgment when working through ambiguity, incomplete information, and evolving client requirements.
Demonstrated ability to become credible and productive quickly within unfamiliar industries and business domains.
A habit of clarifying the problem, identifying constraints, and explicitly stating assumptions before developing a solution.
The ability to communicate effectively with both executive and technical audiences.
Strong technical writing skills, with the ability to explain complex concepts clearly and precisely.
Commercial judgment and the ability to connect technical decisions to measurable business value.
Strong analytical and mathematical rigor when working with incomplete, inconsistent, or unstructured data.
Fluent English communication skills.
Willingness to travel approximately 25–50% and work onsite in client environments.

Nice to have

A university degree is preferred but not required. Demonstrated evidence of successfully delivered work will be valued ahead of formal qualifications.
Java, C#, or C++ within legacy enterprise environments.
Node.js, React, or Next.js for client-facing applications.
Fine-tuning fundamentals and multi-agent orchestration.
TDD or BDD practices.
Large-scale data processing platforms such as Spark, Databricks, or Snowflake.
PostgreSQL, MySQL, or comparable relational databases.
On-premises, sovereign, or restricted-cloud deployment models.
Enterprise systems such as Jira, Azure DevOps, ServiceNow, Salesforce, or SAP.
GitHub or GitLab-based delivery workflows.

English level

Fluent

Legal & Hiring Information

Compensation Transparency: The expected compensation range for this role is $65-130/hr CAD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within Canada, and business needs.
Position Status: This posting is for a newly created position
Location Eligibility: This role is open to candidates residing in Canadian provinces, excluding Quebec.
Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. Canadian work experience is not required.
Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.
Benefits Summary: Canadian employees are eligible to participate in Exadel’s benefits programs, which may include extended health, dental and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.
Equal Employment Opportunity: Exadel is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, family status, or any other protected characteristic under applicable provincial human rights legislation.
Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with applicable accessibility and human rights legislation. If you require accommodation at any stage of the hiring process, please contact us.

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

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More about this job

Responsibilities

Embed within client environments to lead discovery sessions and translate complex business problems into prioritized AI-driven solutions. Design, deploy, and maintain production-grade AI agents and data pipelines while mentoring team members and ensuring reusable delivery architectures.

Requirements

Requires advanced proficiency in Python and practical experience deploying LLM-backed systems in production environments. Candidates must possess strong technical leadership skills and the ability to communicate effectively with both executive and technical stakeholders.

Skills

Python
AI agents
LLM
Prompt engineering
Retrieval-augmented generation
Data pipelines
SQL
TypeScript
JavaScript
Docker
Kubernetes
CI/CD
Cloud computing
API integration
Technical leadership
Client-facing

Benefits

Extended health coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
Retirement savings programs
Paid time off
Paid holidays
Wellness program
Learning and reimbursement
Sports compensation
Referral bonuses

Visa sponsorship

Not detected in the job text

Keywords

Python
AI
LLM
Agentic systems
RAG
Data pipelines
Cloud computing
AWS
Azure
GCP
Docker
Kubernetes
CI/CD
SQL
TypeScript
JavaScript
REST APIs
GraphQL
Model Context Protocol
Prompt engineering
Observability
Data modeling
ETL
ELT
Vector stores
Infrastructure as code
Serverless
Technical writing
Consulting
Enterprise software

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