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Added 18 days ago
Industrial Control Systems Engineer - Advanced
ExxonMobil
Nanticoke, ON
Imperial is looking for an experienced Systems Engineer to join our team in Nanticoke. Responsible for implementing and maintaining the hardware and software platform for both basic and…
Added 18 days ago
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System Architect - Krembil Centre for Neuroinformatics
CAMH
Toronto, ON
- $49.21 to $66.61 CAD / hour
Reporting to the KCNI Operations Manager, the full-time, contract (12 months) Solution Architect leads the cloud and solution architecture for the IYS data platform. Built on Google Cloud…
Added 18 days ago
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Senior DevSecOps and Application Security SME
Raise
Vancouver, BC
- Full-time
GitHub & Platform Security Integration: Implement and optimize application security capabilities across GitHub Enterprise and GitHub Advanced Security (GHAS) in a production enterprise…
Added 18 days ago
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Senior Data Engineer
Taiv
Winnipeg, MB
- $100,000 to $150,000 CAD / year
- Full-time
Taiv runs on data from tens of thousands of devices in the field, the ads we serve, the venues and advertisers on the platform, and the output of our in-house computer vision models. We're…
Added 18 days ago
Software Development Engineer, Amazon Fulfillment Technologies (AFT) - Outbound/Flow, AFT Outbound Execution Teams
Amazon
Toronto, ON
…and re-plan when conditions change. We are building toward a platform where new optimization ideas can be tested and launched quickly. You'll work closely with the engineers on the team,…
Added 18 days ago
T
Director Enterprise Applications, Data
TEEMA
Vancouver, BC
- $160,000 to $215,000 CAD / year
- Full-time
Security and operations: partner with IT Operations to build security, resilience and data protection into everything the team delivers.
Added 18 days ago
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Applied AI Engineer
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
Added 18 days ago
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Lead Cloud Software Developer - (AWS / AI / Real Time Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
…service applications. Applies deep knowledge of algorithms, data structures and programming languages to develop high quality technology applications and services - including tools,…
Added 18 days ago
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Salesforce Developer
Brunel
Quebec, QC
- $100,000 to $125,000 CAD / year
- Full-time
Brunel is seeking a Forward Deployed Engineer specializing in Salesforce Agentic AI to support the design, development, and deployment of production-ready AI solutions on the Salesforce…
Added 18 days ago
GT
Control Systems Engineer
GeoSpectrum Technologies, Inc
Port Coquitlam, BC
- Full-time
…cutting-edge technology from concept to delivery. We design, engineer and manufacture state-of-the-art subsea vehicles. Simply put - we make cool and innovative…
Added 18 days ago
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Full-Stack Software Engineer - React
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We’re looking for an experienced Full Stack Software Engineer who enjoys working across the technology stack and turning ideas into modern, scalable digital solutions.
Added 18 days ago
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BI Engineer
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The BI Engineer is a technical engineering contributor within the Data & Analytics organization, responsible for designing, building, and operating scalable, maintainable, and governed…
Added 18 days ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building…
Added 18 days ago
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Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer with deep Java and Python expertise to work directly with Fintech clients in the Spread Products space. This is a hybrid engineering and…
Added 18 days ago
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Senior Cloud Analyst
Marmon Technologies India Pvt Ltd
SK
- Full-time
The Cloud Engineer is responsible for administering and supporting the Water Group’s cloud infrastructure, with primary focus on Microsoft Azure, Azure Entra ID (identity services), and…
Added 18 days ago
Solutions Engineering Lead, International Upmarket Customers
Toast
Toronto, ON
Multi-entity and franchise structures, and data migration
Added 18 days ago
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GTM Engineer
Chatbase
Toronto, ON
- $110,000 to $160,000 CAD / year
- Full-time
Chatbase is the AI agent platform that 10,000+ businesses use to talk to their customers, from fast-growing startups to global brands like Dolby, Roche, Pearson, Bridgestone and Chuck E.…
Added 18 days ago
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Software Engineer II
Microsoft
Vancouver, BC
- $85,800 to $169,300 CAD / year
- Full-time
…Services. Operating across 25+ global regions, our messaging platform processes billions of messages daily and supports hundreds of millions of users, including 400M+ monthly active users…
Added 18 days ago
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Senior Analytics Engineer - GTM
Motive
Vancouver, BC
- Full-time
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 18 days ago
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Senior Solutions Engineer / Architect
Thri5
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Thri5 is an AI execution platform for retail operations. We help grocers and retailers turn plans into action in stores, using AI agents and workflows that frontline and head-office teams…
Added 18 days ago
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AI Engineer, Data, AI and Analytics
WestJet
Calgary, AB
- Temporary
Partner with Data Science, Data Engineering, and Analytics teams to incorporate AI capabilities into business-facing solutions where appropriate.
Added 19 days ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the…
Added 19 days ago
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Intermediate Software Engineer
TekRek
Toronto, ON
- Full-time
A fintech software company building the next version of its core wealth and portfolio management platform. The product supports investment operations workflows such as portfolio accounting,…
Added 19 days ago
GT
DevOps Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $90 CAD / hour
- Contract
This DevOps Engineer role sits within the Global Asset Management (GAM) line of business and is focused on MOP (Maintain Operations/Tech Debt) funded activity. The contractor will be…
Added 19 days ago
GT
Operations and Project Coordinator
GeoSpectrum Technologies, Inc
Port Coquitlam, BC
- Full-time
ISE is seeking an Operations and Project Coordinator to join our team!

Dayforce

Forward Deployed AI Engineer Sr - Analytics

Canada

Apply on jobs.dayforcehcm.com About employer

Applications open in a new tab.

Job details

Apply by: Dec 26, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.

About the opportunity

We are looking for a Senior Forward Deployed AI Engineer, Analytics to partner directly with analytics teams and business stakeholders to turn high-value analytical problems into practical, trustworthy AI solutions. This hands-on role helps move the organization beyond static dashboards toward conversational analytics, intelligent insights, and AI-enabled decision support.

As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the needs of each use case. You will prototype, validate, deploy, and improve solutions in partnership with the Enterprise AI Platform, Decision Intelligence, Data Engineering, Architecture, and Governance teams. Success is measured by user trust, adoption, and measurable business value.

What you’ll get to do

Forward Deployed AI Engineering

Partner directly with analytics and business teams to understand decisions, workflows, pain points, and analytical questions that AI can help address.
Translate business needs into clear technical requirements, solution designs, prototypes, and production-ready AI experiences.
Independently deliver assigned AI use cases from discovery through user validation, deployment, and ongoing improvement, escalating material architecture, security, or platform decisions when needed.
Use feedback and usage data to improve solution accuracy, relevance, reliability, and adoption.
Recommend simpler alternatives, including BI, analytics, automation, or workflow improvements, when AI is not the best fit.

AI-Powered and Conversational Analytics

Build conversational analytics experiences that allow authorized users to ask natural-language questions of trusted enterprise data.
Develop AI assistants and agentic workflows that retrieve business context, query governed analytical data, interpret results, and provide understandable responses.
Build capabilities that identify trends, anomalies, risks, opportunities, and recommended actions under established business and technical guardrails.
Integrate AI-generated insights into existing analytics tools, applications, and workflows so they are available where decisions are made.
Apply judgment to determine when predictive analytics, generative AI, agents, or a combination of approaches is appropriate.

Enterprise Context and Semantic Intelligence

Use semantic models, business definitions, metrics, metadata, and relationships to ground AI solutions in trusted enterprise context.
Implement retrieval and context patterns across structured data, documents, knowledge bases, and approved enterprise information sources.
Work with data architects, governance specialists, and analytics teams to identify gaps in data quality, semantic clarity, lineage, or access that affect AI reliability.
Ensure AI responses can be traced to appropriate enterprise data sources and business definitions when required.

Agentic Analytics Engineering

Develop AI agents and workflows using approved orchestration frameworks, enterprise AI services, APIs, and data platforms.
Implement tool calling, retrieval-augmented generation, vector or semantic retrieval, and secure API or MCP integrations using established enterprise patterns.
Enable agents to interact securely with semantic models, datasets, knowledge sources, and enterprise services within a user’s authorized access.
Apply appropriate human review and approval controls for high-impact insights, recommendations, and actions.

Prototype to Production Delivery

Rapidly build and test prototypes to validate user value, feasibility, and trust before broader investment.
Define and measure practical success criteria such as response quality, adoption, productivity, decision cycle time, or business impact.
Engineer approved solutions for production reliability, scalability, security, observability, and supportability using enterprise standards.
Develop automated tests and evaluation scenarios for AI-generated responses, including analytical accuracy, grounding, and relevance.
Monitor solution performance, latency, cost, failures, feedback, and adoption; diagnose issues and implement improvements within established support practices.

Governance and Platform Partnership

Use enterprise-approved models, platforms, security patterns, connectors, and reusable components rather than creating isolated point solutions.
Apply established Responsible AI, privacy, security, data governance, identity, and authorization requirements throughout solution delivery.
Partner with Enterprise AI Platform, Security, Privacy, Legal, and Data Governance teams to address exceptions, risks, and complex integration needs.
Document reusable implementation patterns and provide feedback from deployments to improve shared platform capabilities and standards.
Communicate technical options, tradeoffs, progress, and risks clearly to technical and business partners; advise stakeholders on difficult implementation matters within the role’s area of expertise.

Skills and experience we value

Typically 5 or more years of related experience with a Bachelor’s degree, 3 or more years with a Master’s degree, or equivalent practical experience in software engineering, data engineering, analytics engineering, AI or ML engineering, data science, or a related field.
Hands-on experience building and deploying production data, analytics, AI, or Generative AI solutions.
Strong Python, SQL, and software engineering skills, including APIs, testing, version control, and CI/CD practices.
Working knowledge of LLMs, retrieval-augmented generation, AI agents, tool calling, embeddings, vector search, semantic retrieval, and enterprise knowledge integration.
Experience with one or more enterprise AI services or platforms such as Azure AI Foundry, Azure OpenAI, OpenAI, Anthropic, or comparable technologies.
Experience working with analytical data platforms, warehouses or lakehouses, semantic models, APIs, and BI technologies such as Microsoft Fabric, Power BI, Databricks, Snowflake, or equivalent.
Understanding of semantic and dimensional modeling, business metrics, metadata, data quality, lineage, and governed data access.
Experience applying authentication, authorization, RBAC, identity propagation, and secure access practices to AI or data solutions.
Understanding of LLMOps or MLOps concepts, including deployment, evaluation, monitoring, observability, and production support.
Ability to work independently through diverse technical problems, adapt established approaches when appropriate, and seek guidance at key decision points.
Strong communication and collaboration skills, including the ability to work effectively with senior business and technical stakeholders.

What would make you stand out

You have taken an AI or analytics solution from business discovery through prototype, user testing, production deployment, and adoption.
You can work comfortably with both business stakeholders and technical teams, translating between decisions, data, and implementation details.
You have built conversational analytics or AI-enabled decision support on top of governed enterprise data.
You understand why semantic context, data quality, lineage, and access controls are essential to trustworthy enterprise AI.
You are pragmatic about using the simplest technology that solves the business problem and can explain tradeoffs clearly.
You share lessons learned and reusable patterns that help other teams deliver AI solutions more effectively.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

This job posting is for an existing vacancy

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

Dayforce is committed to providing accommodations for applicants with disabilities throughout the recruitment process. If you require an accommodation, please contact us at accessibilty@dayforce.com.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process

Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

Apply on jobs.dayforcehcm.com About employer

More about this job

Responsibilities

Partner with analytics and business teams to translate complex requirements into practical, production-ready AI solutions. Develop conversational analytics, AI agents, and intelligent insights while ensuring reliability, security, and alignment with enterprise data governance.

Requirements

Requires 3-5+ years of experience in software, data, or AI engineering with strong proficiency in Python and SQL. Candidates must have hands-on experience building production-grade AI or analytics solutions and a solid understanding of LLMs and data architecture.

Skills

Python
SQL
Software engineering
LLMs
Retrieval-augmented generation
AI agents
Vector search
Semantic retrieval
Azure AI Foundry
Azure OpenAI
Microsoft Fabric
Power BI
Databricks
Snowflake
MLOps
LLMOps

Benefits

Time away from work programs
Wellness initiatives
Competitive pay
Charity programs

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Analytics
Python
SQL
LLMs
Retrieval-augmented generation
AI agents
Vector search
Semantic retrieval
Azure AI Foundry
Azure OpenAI
Microsoft Fabric
Power BI
Databricks
Snowflake
MLOps
LLMOps
Data governance
Semantic modeling
API
CI/CD
Version control
Generative AI
Predictive analytics
Enterprise AI
Data engineering
Software engineering
Cloud HCM
Conversational analytics
Decision intelligence

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Work requirements

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