Senior AI Engineer

JDPA LIMITED

Senior AI Engineer in charge of designing and implementing Generative AI solutions. Focused on improving customer experience and operational efficiency across multiple products.

Posted 6/17/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$120,000 - CA$135,000 per yearWebsite

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Hard Skills

Generative AIPythonSQLAPIsdata engineeringdata ingestiondata transformsdata retrievalLLM-enabled featuresanalytics pipelines

Soft Skills

problem-solvingcustomer-facing communicationtechnical discussionswriting technical documentsexplaining solutionsmentoringcollaborationinnovationleadershipcontinuous improvement

Tools & Technologies

DatabricksSnowflakePalantir Foundryproduction-grade systemsmonitoring toolsevaluation toolssafety practicesoperational readiness toolsdata-intensive systemsstrongly typed languages

Certifications & Qualifications

Generative AI certifications

Industry Keywords

production AIcustomer experienceoperational efficiencydecision qualityarchitectureexperimentationdeploymentcontinuous improvementquality standardsdata science

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

Design, build, and operate production-grade Generative AI solutions.
Work across data, models, and applications to deliver reliable AI workflows.
Own initiatives end-to-end, including architecture, experimentation, deployment, monitoring, and continuous improvement.
Shape how we apply Generative AI to high-value business problems by building systems that measurably improve customer experience, operational efficiency, and decision quality.
Raise the quality bar for production AI by setting standards for design, safety, evaluation, and operational readiness.
Mentor other engineers and partner with product, data science, and business stakeholders.

Requirements

What you’ll need

Degree in Computer Science, Data Science, Software Engineering or related field.
At least 8yrs of professional experience with a Bachelor’s degree or 6 yrs with a Graduate degree.
1-year experience in Generative AI technologies (included in the overall professional experience), or 1-2 relevant certifications.
Logical, practical, and innovative problem-solving skills.
Strong customer-facing communication: able to lead technical discussions, write clear technical documents, and explain solutions to technical and non-technical audiences.
Shipped and operated LLM-enabled features in production, including evaluation, monitoring, and iteration.
Working knowledge of Generative AI quality and safety practices.
Experience building data-intensive systems end-to-end.
Data engineering fundamentals: ingestion/transforms, maintainable schemas, and retrieval/feature pipelines for analytics and AI.
Strong Python and SQL.
Experience integrating services via APIs.
TypeScript or other strongly typed language experience is a plus.
The ability to learn new tools quickly is required.
Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry).

Benefits

Comp & perks

Not explicitly listed in the job description.