Jobs in Canada

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Added 13 mins ago
A
Responsable senior de projets numériques et IA / Senior Digital & AI Project Leader
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Expérience avérée dans l'intégration opérationnelle de solutions numériques avancées et de technologies basées sur l'intelligence artificielle;
Added 29 mins ago
Manager, Indigenous Relations
British Columbia Lottery Corporation
BC · Hybrid - Kamloops or Vancouver, BC
…reputational and relationship risks, and opportunities requiring enterprise consideration or…
Added 43 mins ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.
Added 58 mins ago
L
Legal Director
Lumentis
Innisfil, ON
- Full-time
…decisions by providing timely legal partnership, protecting enterprise value, maintaining strong governance and compliance, and managing risk…
Added 1 hour ago
A
Application Support Analyst
Altis
Kamloops, BC
- $40 to $55 CAD / hour
- Contract
…organization where you'll help maintain and enhance critical enterprise systems that support day-to-day business operations. This is an excellent opportunity for an early-career Systems…
Added 1 hour ago
Specialist, Demand Planning
CONA Services
Toronto, ON
…products with key counterparts in Sales. The Demand Planner is the integration point between Supply, Sales and Commercial…
Added 1 hour ago
Specialist, Demand Planning
CONA Services
Toronto, ON
…products with key counterparts in Sales. The Demand Planner is the integration point between Supply, Sales and Commercial…
Added 2 hours ago
U
Directeur principal, Ingénierie logicielle – WFM / Sr Dir. Software Development - WFM
UKG
Montreal, QC
- Full-time
…développement logiciel agentique, les tests automatisés, l’intégration continue et la livraison continue, l’observabilité, le développement sécurisé et la préparation à la…
Added 3 hours ago
IG
Senior Python Developer – Database Engineering
IMCS Group
Quebec, QC
- Contract
Job Title: Senior Python Developer – Database Engineering
Added 3 hours ago
U
Directeur principal, Ingénierie logicielle – WFM / Sr Dir. Software Development - WFM
UKG
Montreal, QC
- Full-time
…développement logiciel agentique, les tests automatisés, l’intégration continue et la livraison continue, l’observabilité, le développement sécurisé et la préparation à la…
Added 3 hours ago
MC
Cloud Platform Engineer – Terraform & Database Infrastructure (36050)
Myticas Consulting
Toronto, ON
- Contract
…networking, managed database infrastructure and Python to support enterprise cloud platforms and application…
Added 3 hours ago
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Senior Databricks Data Platform Engineer
Brillio
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
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
…Engineer III (Team Lead) to lead the technical delivery of complex enterprise SaaS implementations within the banking and financial technology…
Added 3 hours ago
Director Technology Transformation Stores
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Stellarton, NS · Mississauga, ON
…taking a strong lens to how the technology enables long-term enterprise strategic…
Added 4 hours ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
CI/CD integration, defect management, test data/environment planning, BDD/TDD, AI-assisted testing with governance
Added 4 hours ago
C
Senior Manager, Safety Management System & Safety Culture
CAE
Montreal, QC
- Full-time
…analysis, decision-making and alignment with the Corporate Enterprise Risk Management (ERM)…
Added 4 hours ago
M365 Architect
EY
Toronto, ON
Understanding of hybrid cloud environments and integration with on-premises infrastructure.
Added 4 hours ago
AI
Senior Java- Low Latency Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mississauga, ON
- Full-time
Design, develop, test, and maintain enterprise-grade Java applications.
Added 4 hours ago
AI
SENIOR JAVA DEVELOPER – SPRING BOOT, MICROSERVICES, KAFKA & MONGODB
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Mississauga, ON
- Full-time
Implement RESTful APIs adhering to enterprise design standards.
Added 4 hours ago
IW
Senior Manager, Solution Architect 1
IG Wealth Management
ON · Ontario, Canada
- Full-time
…secure, compliant, and aligned with both business objectives and enterprise technology…
Added 4 hours ago
IW
Senior Manager, Solution Architect 1
IG Wealth Management
MB · Manitoba, Canada
- Full-time
…secure, compliant, and aligned with both business objectives and enterprise technology…
Added 4 hours ago
A
Information Technology (IT) Manager
Argus
AB · Edmonton, AB
- Full-time
Develop a scalable reporting and data integration approach compatible with future enterprise systems.
Added 4 hours ago
PC
Senior Associate, Salesforce Technical Consultant
PwC Canada
Ottawa, ON
- Full-time
…software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Consulting &…
Added 4 hours ago
T
Engineer I
TD
Mississauga, ON · Toronto, ON
- Full-time
System integration of various data sources for logging of system & application security events to TD enterprise SIEM platforms.
Added 5 hours ago
T
Engineer I
TD
Toronto, ON
- Full-time
System integration of various data sources for logging of system & application security events to TD enterprise SIEM platforms.

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

The Opportunity

We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You will work closely with business users, subject matter experts, product owners, and engineering teams to understand complex workflows, rapidly validate solutions using real data, remove technical blockers, and own delivery through production launch, stabilization, adoption, and handover.

What You Will Do

Work with subject matter experts, product owners, business users, and engineers to map workflows, users, data, constraints, and decision points.
Agree on the first useful release, measurable success criteria, and a practical roadmap from prototype to production.
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Build working solutions using real data and APIs, validate them with users, and iteratively harden them for production.
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 and integrations across enterprise systems.
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Create evaluation datasets with subject matter experts, measure model and LLM quality, perform structured error analysis, and prioritize improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with technical teams.
Own post-go-live monitoring, incident diagnosis, rollback, stabilization, latency, performance, reliability, and cost optimization.
Measure adoption and business impact using agreed KPIs, then complete structured handover with runbooks, support ownership, and knowledge transfer.

What You Bring

10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed processing.
Experience with Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Strong knowledge 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 designs, define non-functional requirements, estimate effort, and drive implementation.
Financial services experience and strong client-facing skills across discovery, rapid prototyping, solution shaping, workshops, and technical presentations.
Bachelor's degree in a relevant discipline. Cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security certifications are preferred.

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More about this job

Responsibilities

Partner with business users, subject matter experts, and engineering teams to understand workflows, assess real-world data, and deliver enterprise AI and data applications from prototype through production launch. Operate and improve deployed solutions by managing pipelines, model quality, monitoring, incidents, performance, adoption, and handover.

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, cloud technologies, and MLOps/LLMOps. A relevant bachelor's degree, financial services experience, and strong client-facing skills are required; relevant cloud, Kubernetes, AI, data, architecture, MLOps, or security certifications are preferred.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
Data Engineering
MLOps/LLMOps
Kubernetes
Client-Facing Consulting
Financial Services

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data Pipelines
Data Quality
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Distributed Processing
Cloud Data Platforms
IAM/RBAC
Financial Services
Model Monitoring
Data Lineage
Incident Management

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