Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 28 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines.…
Added 28 days ago
R
Senior Software Engineer – Cloud & Data Platforms
Raise
Toronto, ON
- Contract
Work Arrangement: Hybrid, onsite 2 days per week (3 days optional)
Added 28 days ago
IF
Senior Solution Architect - Data & AI
Intact FC
Toronto, ON · Mississauga, ON · Montreal, QC
- Full-time
As a Senior Solution Data & AI Architect, you'll work with talented engineering teams, data scientists, and business leaders to shape the next generation of data and AI capabilities. You'll…
Added 28 days ago
K
Solutions Architect
Kelly
Toronto, ON
- Contract
Role Overview: Seeking a Senior Solution Architect to lead the end-to-end architecture and solution design of a greenfield enterprise Capital Management Platform built on Databricks and…
Added 28 days ago
A
Sr. Solution Architect
Anaplan
Ottawa, ON
- Full-time
Think big and act bold by expressing your authentic best self! Anaplan is looking for a tenacious Sr. Solution Architect to join our Business Operations (BizOps) team. Get involved in a…
Added 28 days ago
KG
Senior Data AI Engineer – GenAI & Agentic AI
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Architect scalable data pipelines, data platforms, and AI solutions with focus on performance, security, reliability, and cost optimization.
Added 28 days ago
B
SENIOR TECHNOLOGY SPECIALIST - VIRTUAL DESKTOP & LINUX PLATFORMS
BDC
Montreal, QC
- Full-time
We are seeking a Senior Technology Specialist responsible for the delivery, automation, and operational support of enterprise Virtual Desktop Infrastructure (VDI) and Red Hat Enterprise…
Added 28 days ago
K
Lead Data Modeler / Data Modeling Architect – Capital Management
Kelly
Toronto, ON
- Contract
This is a senior, architecture-focused position responsible for defining the logical data models that will underpin the bank's capital management and measurement capabilities.
Added 28 days ago
I
Senior Cloud & AI Sales Specialist | Azure Infrastructure, Data & AI
ITI
Quebec, QC
- Full-time
…& AI practice, with a primary focus on Azure Infrastructure and Data & AI, while also supporting opportunities related to application modernization, DevOps, analytics, and emerging AI…
Added 28 days ago
Sr. Solution Architect
Anaplan
Ottawa, ON
Think big and act bold by expressing your authentic best self! Anaplan is looking for a tenacious Sr. Solution Architect to join our Business Operations (BizOps) team. Get involved in a…
Added 28 days ago
A
Adobe Workfront Solution Architect Lead
Accenture
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
- Full-time
…to accelerate business growth through hyper-personalization and connected customer experiences. To deliver this and to help clients achieve rapid time-to-value from Adobe technology, we…
Added 28 days ago
J
Senior Data Engineer
JLL
Toronto, ON · Canada Home Office - ON
- Full-time
As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that achieves strategic business objectives.…
Added 28 days ago
L
Forward Deployed Engineer (Toronto)
LumApps
Toronto, ON
- Full-time
You will sit at the intersection of engineering and customer impact, navigating technical constraints to deploy live, ROI-generating AI Agents within rapid cycles. This is a rare…
Added 28 days ago
T
Specialized Finance Manager – TDS Finance Capital Reporting
TD
Toronto, ON
- Full-time
Ability to operate as both a strategic leader and hands-on solution architect.
Added 28 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Toronto, ON
- Full-time
Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or…
Added 28 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or…
Added 28 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Ottawa, ON
- Full-time
Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or…
Added 28 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Montreal, QC
- Full-time
Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or…
Added 28 days ago
IC
Technical Analyst Intern
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Reporting to the Senior Principal, Enterprise Architect, the Technical Analyst Intern will work cross functionally with the Enterprise Architecture Practice and Governance teams to build…
Added 28 days ago
W
Senior React Developer / Solution Architect
Workiy
Vancouver, BC
- Contract
We are seeking an experienced Senior React Developer / Solution Architect to support an enterprise financial planning and analytics application enhancement initiative for the Provincial…
Added 28 days ago
AS
Enterprise Architect
AFTIA Solutions
Canada
- Contract
- Strong understanding of integrations and data flows within the Adobe solution ecosystem.
Added 28 days ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
We are seeking a hands-on Senior AI & Data Engineering professional to design, build, deploy, and support enterprise-grade AI and data solutions. The ideal candidate combines strong data…
Added 28 days ago
I
Senior Consultant, AI & Automation (Energy, Mining & Utilities)
IBM
Toronto, ON
- $99,875 to $129,250 CAD / year
- Full-time
As a Senior Consultant, AI & Automation Delivery (Energy, Mining & Utilities), you will help oversee the execution of intelligent automation and AI projects across asset-heavy industries.…
Added 28 days ago
I
Senior Consultant, AI & Automation (Energy, Mining & Utilities)
IBM
Calgary, AB
- $99,875 to $129,250 CAD / year
- Full-time
As a Senior Consultant, AI & Automation Delivery (Energy, Mining & Utilities), you will help oversee the execution of intelligent automation and AI projects across asset-heavy industries.…
Added 28 days ago
NB
Senior Solutions Architect IDP
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Solution Architect within the Technology and Operations team at National Bank means acting as a subject matter expert in the design and evolution of Intelligent…

K&K Global Talent Solutions INC.

Forward Deployed Engineer (Python/PySpark, LLM)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 13, 2026
Experience: 10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Posting language: English
Posted: Oct 14, 2026

Original job description

Position: Forward Deployed Engineer (Python/PySpark, LLM)

Location: Toronto, ON (Hybrid)

Employment Type: Full Time

Experience Required: 10 + Years

Role Summary:

We are seeking a hands-on Senior AI & Data Engineering professional to design, build, deploy, and support enterprise-grade AI and data solutions. The ideal candidate combines strong data engineering and software development skills with practical experience in Claude-powered AI applications, RAG, Agentic AI, cloud platforms, and production-grade MLOps/LLMOps. This role requires close client collaboration, rapid prototyping, technical leadership,

and accountability for measurable business outcomes.

Must-Have Technical Skills:

10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, and enterprise application integration.
Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and DataOps practices.
Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and production support.
Strong knowledge of cloud and modern data platforms, including compute, storage, integration, orchestration, security, networking, monitoring, and cost optimization services.
Hands-on experience with Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed data processing frameworks.
Strong understanding of enterprise security and governance principles, including IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable solution designs, define non-functional requirements, estimate effort, and drive production-ready implementation.
Experience working with Banking, Financial Services, or Insurance (BFSI) data environments and familiarity with regulatory, security, privacy, and resilience requirements.
Strong client-facing consulting skills with experience conducting discovery workshops, solution shaping, rapid prototyping, stakeholder communication, and technical presentations.
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Preferred certifications in Cloud Platforms, Kubernetes, AI Engineering, MLOps, Data Engineering, Enterprise Architecture, Security, or Program Delivery.
Experience working in a forward-deployed delivery model by embedding with client SMEs, business users, and engineering teams through solution validation, production deployment, adoption, and handover.
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions, edge cases, and business-process gaps before development.
Ability to rapidly build thin working solutions using real client data and APIs, validate them with users, and iteratively harden them with automated tests, security controls, error handling, observability, and production support procedures.
Experience creating business-relevant evaluation datasets with client SMEs, measuring ML or LLM quality, performing structured error analysis, grouping failures by root cause, and prioritizing improvements across releases.
Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported issues.
Ability to measure user adoption and business impact after launch using usage data and agreed KPIs such as time saved, error reduction, straight-through processing, quality improvement, or productivity gains.

Key Responsibilities:

Design, develop, and deploy enterprise-grade AI and data applications using Python, PySpark, Claude, SQL, APIs, and modern cloud-based data platforms.
Engage with business and technology stakeholders to understand business objectives, data landscape, functional requirements, non-functional requirements, and delivery expectations.
Define solution architecture, implementation roadmaps, and technical approaches that align with business goals and operational requirements.
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Develop batch, real-time, and streaming data processing solutions integrating multiple enterprise data sources and downstream applications.
Build and operationalize Claude-powered applications, copilots, and AI workflows using prompt engineering, Retrieval-Augmented Generation (RAG), vector search, and enterprise data integration.
Implement responsible AI practices, including governance, security, privacy, traceability, validation, and human oversight controls.
Design and enforce engineering standards, reusable frameworks, CI/CD practices, infrastructure automation, and production deployment patterns.
Provide technical leadership across solution design, code reviews, architecture reviews, testing, deployment, and production support activities.
Drive platform reliability, performance tuning, observability, incident resolution, and operational excellence across data and AI workloads.
Collaborate closely with architects, data engineers, AI specialists, platform teams, and client stakeholders to deliver production-ready solutions.
Support solutioning, RFP responses, technical demonstrations, effort estimation, and client workshops for new opportunities.
Develop reusable accelerators, reference architectures, implementation playbooks, and engineering best practices to improve delivery efficiency.
Mentor engineering teams and contribute to hiring, capability development, technical assessments, and knowledge-sharing initiatives.
Embed with client SMEs, product owners, and engineers for a defined, time-bound outcome; map the workflow, users, data, constraints, and decision points; and agree on the first useful release and measurable success criteria.
Analyze client data early to assess coverage, quality, volumes, distributions, edge cases, and process feasibility before committing to solution design and build scope.
Build a thin working version quickly on real data and APIs, validate it with business users, and harden it iteratively for security, reliability, maintainability, and production operations.
Create evaluation datasets with client SMEs, perform model and LLM error analysis. and suggest improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers in partnership with client data, platform, security, and engineering teams.
Own post-go-live stabilization by monitoring services, diagnosing user-reported failures, latency and cost issues, executing rollback or recovery where required, and shipping fixes.
Measure adoption and realized business impact using usage data and agreed KPIs, and communicate results through concise dashboards, demonstrations, or executive summaries.
Complete structured handover with runbooks, support ownership, knowledge transfer, and reusable components, test documents, and deployment patterns.

Preferred Background:

Strong problem-solving and decision-making abilities with a balanced focus on business outcomes, technology strategy, security, scalability, and operational excellence.
Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with business, technical, and executive audiences.
Strong consulting mindset with the ability to analyze complex challenges, recommend practical solutions, and clearly articulate architectural trade-offs.
Proven ability to lead and influence cross-functional, distributed teams in a collaborative and fast-paced delivery environment.
High level of ownership, accountability, attention to detail, and commitment to engineering quality and delivery excellence.
Strong planning, prioritization, and multitasking skills with the ability to manage multiple initiatives, stakeholders, and delivery commitments simultaneously.
Ability to mentor engineers and architects, foster knowledge sharing, and drive adoption of engineering best practices.
Adaptability and resilience to work effectively in rapidly evolving technologies, business priorities, and client environments.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, deploy, and support enterprise AI and data solutions, including data pipelines and Claude-powered applications, with a focus on security, reliability, performance, and cost. Work directly with client stakeholders from discovery through prototyping, production stabilization, impact measurement, and handover, while providing technical leadership and mentoring.

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, RAG, and MLOps/LLMOps. A bachelor’s degree in a related discipline is required, along with strong client-facing consulting skills; BFSI experience and relevant technical certifications are preferred.

Skills

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
Retrieval-Augmented Generation
Agentic AI
Vector Databases
Data Engineering
MLOps/LLMOps
Cloud Platforms
Kubernetes
Airflow
Client-Facing Consulting

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
Retrieval-Augmented Generation
Agentic AI
Vector Databases
Semantic Search
ETL/ELT
Batch Processing
Streaming Pipelines
DataOps
MLOps
LLMOps
MLflow
Docker
Kubernetes
Airflow
CI/CD
Cloud Data Platforms
Data Governance
IAM/RBAC
Banking, Financial Services, and Insurance
Data Quality
Observability
Model Evaluation
Production Support

Report this job

Work requirements

Jobs in Canada