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Added 6 mins ago
A
Support Systems Engineer - NAMER
Ashby
Canada
- Full-time
…helps teams use our tools effectively and keeps operational data reliable. From planning through rollout, you’ll work with IT, RevOps, and Engineering to connect the system to the tools and…
Added 6 mins ago
C
Développeur Intermédiaire SR- Microsoft Business Central
CGI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Connaissance de SQL Server et des environnements cloud Microsoft (un atout).
Added 6 mins ago
C
SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
We are looking for an experienced Test Automation Engineer with strong hands-on expertise in Tricentis TOSCA Data Integrity (TOSCA DI) along with UI test automation using Playwright.
Added 6 mins ago
U
CCAIP (IVR) Integration Developer
UST
Toronto, ON
- Full-time
We are seeking a CCAIP Integration and IVR Developer to architect, build, and maintain seamless integrations between our Google Contact Center AI Platform (CCAIP), IVR flows, and enterprise…
Added 1 hour 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
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Added 1 hour ago
D
销售经理
DMALL
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Added 2 hours ago
EI
Test Specialist - CDU
Ecolab Inc.
Calgary, AB
- Full-time
Opportunity to work on innovative liquid cooling technologies supporting AI, cloud computing, and next-generation data centers.
Added 2 hours ago
S
Account Executive, Enterprise (Restaurants)
Solink
Remote, Canada
- $240,000 to $300,000 CAD / year
- Full-time
- Remote
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to…
Added 3 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Experience with modern AI technologies, including Generative AI, LLMs, RAG-based solutions, and cloud-scale data platforms. Ability to apply AI-driven innovations to improve developer…
Added 3 hours ago
U
Directeur principal, Ingénierie logicielle – WFM / Sr Dir. Software Development - WFM
UKG
Montreal, QC
- Full-time
Added 3 hours ago
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RAN System Verification Professional
Ericsson
Ottawa, ON
- Full-time
Exposure to any of the following is an asset: LTE/5G, test automation, data analysis, AI/ML, Wireshark, cloud technologies, containers, or Kubernetes
Added 3 hours ago
TT
Senior Oracle DBA
Tech Talent International
Toronto, ON
- $73 to $75 CAD / hour
- Contract
…databases while leading performance tuning, database releases, AWS cloud migrations, PostgreSQL environments, and production database…
Added 3 hours ago
I
Client Solutions Lead
Insight
Montreal, QC
- Full-time
…As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital…
Added 3 hours ago
AI
Senior Database Administrator (Oracle Application DBA / Cloud)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
…operations, while helping drive database modernization and cloud migration…
Added 3 hours ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
The successful candidate will collaborate with cloud architects, infrastructure engineers, security teams, and data engineers to build a secure, scalable, production-ready Azure Databricks…
Added 3 hours ago
IG
Senior Python Developer – Database Engineering
IMCS Group
Quebec, QC
- Contract
We are looking for an experienced Senior Python Developer with strong expertise in Python programming, database development, SQL, data modelling, and database performance optimization.
Added 3 hours ago
U
Directeur principal, Ingénierie logicielle – WFM / Sr Dir. Software Development - WFM
UKG
Montreal, QC
- Full-time
Added 3 hours ago
B
Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
This is a highly collaborative role. You will partner with data engineering, data science, security, cloud infrastructure, and finance teams to set platform standards, guide adoption of new…
Added 3 hours ago
J
DevOps Technical Lead / Architect - Azure & Terraform
Jobgether
Canada
- $150,000 to $165,000 CAD / year
- Full-time
…service-oriented architecture through reusable automation and robust cloud engineering practices. Combining hands-on technical expertise with architectural direction, you will lead platform…
Added 3 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
…solution design, product configuration, APIs and integrations, data, deployment, troubleshooting, client-facing consulting, and team…
Added 3 hours ago
V
Architect
Virtusa
Toronto, ON
- Full-time
Test Framework Architecture (BDD, Data-Driven, Page Object Model) - Expert
Added 3 hours ago
IG
Sr. Product Owner
Insight Global
Toronto, ON
- $70 to $75 CAD / hour
- Full-time
Strong knowledge of cloud web services: Handling integration between modern web services and legacy platforms
Added 3 hours ago
AG
Logistics Coordinator
ATCO Group
La Prairie, QC
- Full-time
Data entry in CRM software and internal inventory management software as required.
Added 4 hours ago
D
Account Executive, Mobility & Immigration, Enterprise | North America
Deel
Canada
- Full-time
Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator's top companies…
Added 4 hours ago
CC
Senior Manager, Regional Service
Canon Canada
Montreal, QC
- Full-time
Continuous Improvement: Leverage regional performance data and incident management frameworks to optimize first-time fix rates, reduce equipment downtime, and eliminate operational…

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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