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Added 8 days ago
CS
Senior Cybersecurity Engineer
Confiar Services
Toronto, ON
- Contract
We are seeking a skilled Senior Engineer with 3–5 years of experience in Python and JavaScript to support ongoing Codewise maintenance and enhancements across enterprise Cyber, Data, and…
Added 8 days ago
PG
Artificial Intelligence Engineer
Pacer Group
Toronto, ON
- $75 to $78 CAD / hour
- Contract
10 + years of progressive engineering experience.
Added 8 days ago
T
Senior LEO SOC Systems Engineer
Telesat
Ottawa, ON
- Full-time
…government customers for over 55 years. Backed by a legacy of engineering excellence, reliability and industry-leading customer service, Telesat has grown to be one of the largest and most…
Added 8 days ago
MT
Physical Design Engineer
Mirafra Technologies
Canada
- Full-time
…optimizing, and automating physical design workflows using Tcl and Python, incorporating AI-assisted development tools like GitHub Copilot to accelerate script delivery and engineering…
Added 8 days ago
KS
Analyste, Intégrité Compétitive AQ / Analyst, Competitive Integrity QA
Keywords Studios
Montreal, QC
- Full-time
Expérience avec Python, PowerShell, C++, C# ou des langages de programmation équivalents
Added 8 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
We are looking for a Associate Director - Lead Data Modeler/Analyst to lead the design and delivery of enterprise-grade data models across our cloud data lake. This is a senior leadership…
Added 8 days ago
P
Valuations Financial Instruments, Senior Manager
PwC
Toronto, ON
- Full-time
…finance discipline (Mathematics, Statistics, Finance, Financial Engineering, or other relevant postgraduate…
Added 8 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to…
Added 8 days ago
C
Lead SQL Database Engineer (Azure)
CIBC
Toronto, ON
- Full-time
…Automate common management tasks using PowerShell. Evaluates data access and security to ensure that electronic data resources are available to those who need access and protected Automates…
Added 8 days ago
B
Consultant, Data, Analytics & AI
BDO
Toronto, ON
- Full-time
Work hands on with data using SQL, Python, Power Query, Excel and related technologies to extract, transform, integrate, analyze and validate structured and unstructured data.
Added 8 days ago
3
Data Analyst
3M
Brockville, ON · CA, Ontario, Brockville
- Full-time
Bachelor’s degree in Data Analytics, Engineering, Computer Science or Business Analytics (completed and verified prior to start)
Added 8 days ago
R&
Staff AI Product Manager
Robots & Pencils
Canada
- Full-time
Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and…
Added 8 days ago
S
Senior Site Reliability Engineer
SPECTRAFORCE
Toronto, ON
- Contract
o Development/Engineering experience e.g. Powershell, Bash, Shell, Python
Added 8 days ago
AI
Sr AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and domain experts to translate business requirements into robust technical solutions.
Added 8 days ago
AI
Jira Service Management Intake Automation Developer – AI & Integrations
Apptoza Inc.
Toronto, ON
- Contract
…essential for configuring and automating workflows. Strong Java and Python development skills are required for building applications and integrations. Experience with REST APIs and webhooks…
Added 8 days ago
AI
Sr AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and domain experts to translate business requirements into robust technical solutions.
Added 8 days ago
LC
Senior Manager - AI & Data Science
Loblaw Companies Limited
Brampton, ON
- Full-time
Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical…
Added 8 days ago
JG
Senior AI Engineer
J&M Group
Toronto, ON
- Full-time
Generative AI & LLMs: Core proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA), advanced prompt engineering, and LLM fine-tuning techniques.
Added 8 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 8 days ago
KS
Analyste, Intégrité Compétitive AQ / Analyst, Competitive Integrity QA
Keywords Studios
Remote, Canada
- Full-time
- Remote
Expérience avec Python, PowerShell, C++, C# ou des langages de programmation équivalents.
Added 8 days ago
LC
Senior Manager - AI & Data Science
Loblaw Companies Limited
Brampton, ON
- Full-time
Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical…
Added 8 days ago
J
Senior Analyst, Customer Analytics (12-month contract)
Jobber
Remote, Canada
- Full-time
- Remote
Collaborate with peers across Analytics, Business Intelligence, Analytics Engineering, Data Science, and other teams to ensure analytical quality and consistency.
Added 8 days ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
…strategies - selecting the right approach based on query complexity, data volatility, and domain reasoning…
Added 8 days ago
SL
Student, Data Governance Analyst (Winter 2027)
Sun Life
Toronto, ON
- Full-time
Pursuing an advanced degree in Computer Science, Engineering, Mathematics, Machine Learning, or Data Sciences (or equivalent)
Added 8 days ago
CL
Data Scientist
Charger Logistics Inc.
Brampton, ON
- Full-time
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.

K&K Global Talent Solutions INC.

Forward Deployed Engineer (Python/PySpark, LLM)

Toronto, ON, Canada

Full-time

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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.

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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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