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Added 12 days ago
RB
Data Scientist, Global AML Transaction Monitoring
Royal Bank of Canada
Toronto, ON
- Full-time
Present newly developed monitoring solutions with clear visualizations to the Senior Manager, Global AML Transaction Monitoring Data Science
Added 12 days ago
RB
Associate Director - Lead Data Modeler/Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Advanced SQL and Python skills for data analysis, profiling, and transformation
Added 12 days ago
Senior Data Analyst
Rogers Communications
Toronto, ON · Brampton, ON
Develop and maintain master datasets and reporting data layers using Databricks, SQL and Python, including data extraction, transformation, integration and validation from multiple data…
Added 12 days ago
IG
Insights Analyst
Insight Global
Woodbridge, ON
- $40 to $55 CAD / hour
- Contract
Strong SQL experience (#1 technical requirement)
Added 12 days ago
ZT
Supplier Risk and Resiliency Analyst II
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
…goods assembly. Under the general guidance of supervisors and senior team members, this role is responsible for mapping standard supply chain datasets, identifying vulnerabilities, modeling…
Added 12 days ago
ST
Senior Operations Associate, Biospecimens
STEMCELL Technologies
Burnaby, BC · Canada - BC, Burnaby, Production Court, Onsite
- Full-time
Proficiency with data analysis tools and systems through Google Suite and Microsoft Suite tools, with Salesforce, SAP, SQL, Python, Tableau, and Snowflake experience and certifications as…
Added 12 days ago
ZR
Business Analyst & Budgeting Coordinator
Zen Residential Ltd.
Calgary, AB
- Full-time
Work with our IT provider to set up and run our SQL data warehouse in Azure. Yardi Voyager data loads nightly, and our leasing CRM, maintenance and accounting systems feed in by API.
Added 12 days ago
R
Data Scientist, Global AML Transaction Monitoring
RBC
Toronto, ON
- Full-time
Present newly developed monitoring solutions with clear visualizations to the Senior Manager, Global AML Transaction Monitoring Data Science
Added 12 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
Advanced SQL and Python skills for data analysis, profiling, and transformation
Added 12 days ago
P
Valuations Financial Instruments, Senior Manager
PwC
Toronto, ON
- Full-time
Experiences in common programming languages (e.g. Python/R/Visual Basic/SQL) will be an asset.
Added 12 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 12 days ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, and enterprise application integration.
Added 12 days ago
J
Senior Analyst, Customer Analytics (12-month contract)
Jobber
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Analyst, Customer Analytics to be part of our Analytics team on a 12-month contract.
Added 12 days ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Experience building production-grade AI applications in Python - not just notebooks or prototypes.
Added 12 days ago
V
Senior Java developer
Virtusa
Toronto, ON
- Full-time
Java Spring Boot, Java We are seeking skilled Java Spring Boot developer with 10-12 yrs of hands on experience in developing scalable backend applications. The ideal candidate should have…
Added 12 days ago
M
Senior Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
The Senior ETL Developer plays a critical role in designing, developing, and maintaining enterprise‑grade data integration solutions that support analytics, reporting, and operational…
Added 12 days ago
I
Senior Analyst, Cybersecurity Services
Intelcom
Montreal, QC · Service Centre (Montreal) Lab
- Full-time
· Proficiency in data analysis, query, automation, and scripting using languages such as Python, PowerShell, Bash, YARA-L, SQL, KQL, SPL, or equivalent.
Added 12 days ago
D
Senior Data Engineer
DNV
Toronto, ON
- Full-time
Working within the Data & AI Engineering section, this role contributes hands-on engineering expertise across Python, SQL, FastAPI, data modeling, API development, and cloud-native platform…
Added 12 days ago
LH
Senior Tax Accountant – Corporate Canadian Tax
Logic Hire Solutions LTD
Toronto, ON
- $70,000 to $120,000 CAD / year
- Full-time
We are seeking a battle-tested, hands-on Senior Tax Accountant with 8+ years of deep Canadian Corporate Tax experience to own and drive our tax function. This is not a management role -…
Added 12 days ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Analysis first: Strong SQL and Python, and you're comfortable starting with messy data and ambiguous questions and working your way to a clear answer.
Added 12 days ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
Advanced SQL and strong programming skills in Python (TypeScript is a plus).
Added 12 days ago
LH
Senior Tax Accountant – Corporate Canadian Tax
Logic Hire Solutions LTD
Oakville, ON
- $70,000 to $120,000 CAD / year
- Full-time
We are seeking a battle-tested, hands-on Senior Tax Accountant with 8+ years of deep Canadian Corporate Tax experience to own and drive our tax function. This is not a management role -…
Added 12 days ago
LH
Senior Tax Accountant – Corporate Canadian Tax
Logic Hire Solutions LTD
Mississauga, ON
- $70,000 to $120,000 CAD / year
- Full-time
We are seeking a battle-tested, hands-on Senior Tax Accountant with 8+ years of deep Canadian Corporate Tax experience to own and drive our tax function. This is not a management role -…
Added 12 days ago
RA
Senior Data Scientist (Machine Learning & Generative AI)
Recrute Action
Toronto, ON
- Contract
Proficiency in Python for data science and GenAI application development.
Added 12 days ago
Senior Analyst, Payments Data Intelligence
Payments Canada
Toronto, ON · Ottawa, ON
The Senior Analyst operates with full technical autonomy over codebases, complex SQL transformations, Python feature engineering, GCP data pipelines, and MLOps back testing suites. This…

K&K Global Talent Solutions INC.

Forward Deployed Engineer (Python/PySpark, LLM)

Toronto, ON, Canada

Full-time

Apply About employer

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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 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

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