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Added 10 hours ago
SI
Lead Product Manager, User Acquisition (scribd.com)
Scribd, Inc.
Toronto, ON
- Full-time
The successful candidate combines genuine acquisition expertise with strong product management, and leads through influence helping teams define where acquisition should head next. Your…
Added 10 hours ago
AC
Warehouse Worker III
Aramark Canada
Cochrane, ON
- Full-time
…responsible for supporting the culinary teams with inventory and data management. The responsibilities of the position may vary by location based on client requirements and business…
Added 10 hours ago
T
Senior Manager, Business Banking Deposits Product Management - Tangerine
Tangerine
Toronto, ON
- Full-time
Work with Technology, Product, Operations and delivery partners to define product requirements, test scenarios, operational dependencies, decision points and launch readiness criteria.
Added 10 hours ago
FH
Booking Clerk, Medical Imaging - Jim Pattison Outpatient Care & Surgery Centre
Fraser Health Authority
Surrey, BC
- $28.74 CAD / hour
- Other
…arrivals, checking schedules for appropriate times, identifying pre-test instructions such as pre-test diet, contacting patients, units/physician offices to confirm appointments and relay…
Added 10 hours ago
RS
Material Handler - 5x8 Shift-8
Ryder System, Inc.
Sherwood Park, AB
- Full-time
…with integrated transportation, logistics, and supply chain management solutions that enhance the way they do business. Building and maintaining a fleet takes time, resources, and expertise…
Added 10 hours ago
RS
Forklift operator - Days
Ryder System, Inc.
Caledon, ON
- Full-time
…with integrated transportation, logistics, and supply chain management solutions that enhance the way they do business. Building and maintaining a fleet takes time, resources, and expertise…
Added 10 hours ago
RS
Material Handler - Afternoon Shift-9
Ryder System, Inc.
Sherwood Park, AB
- Full-time
…with integrated transportation, logistics, and supply chain management solutions that enhance the way they do business. Building and maintaining a fleet takes time, resources, and expertise…
Added 10 hours ago
RS
Material Handler - 5x8 Shift-4
Ryder System, Inc.
Sherwood Park, AB
- Full-time
…with integrated transportation, logistics, and supply chain management solutions that enhance the way they do business. Building and maintaining a fleet takes time, resources, and expertise…
Added 10 hours ago
MC
QA Testers
MatchBox Consulting Group
Vancouver, BC
- Contract
Create and manage appropriate test data sets required for effective test execution.
Added 10 hours ago
ST
Structures and Systems Installation Integrator
SEGULA Technologies
Montreal, QC
- Full-time
Configuration & Change Management: Manage engineering changes, evaluate cross-disciplinary impacts, and maintain configuration data within the Product Lifecycle Management (PLM) environment.
Added 10 hours ago
AI
Buyer, Subcontract Manufacturing
ATS Industrial Automation
Cambridge, ON
- Contract
…design, build and service mission-critical automated assembly and test solutions for mobility, nuclear and specialty automation. Our customers are leaders in their industries and rely on us…
Added 10 hours ago
RS
Yard Driver - Day Shift Sunday - Wednesday
Ryder System, Inc.
Winnipeg, MB
- Full-time
…with integrated transportation, logistics, and supply chain management solutions that enhance the way they do business. Building and maintaining a fleet takes time, resources, and expertise…
Added 10 hours ago
BE
Transformer Engineer
Boundary Electric
Grand Forks, BC
- Full-time
Proficiency with quality management software and data analysis tools.
Added 11 hours ago
B
Business Analyst, Security Education
BMO
Toronto, ON · FCP
- Full-time
…technology build and operations by sourcing and analyzing relevant data, reviewing and documenting business processes and collaborating with business stakeholders. Sources business and…
Added 11 hours ago
G
Experimentation Consultant
GAIN
Vancouver, BC
- $82,000 to $90,000 CAD / year
- Full-time
…satisfaction through proactive client communication, relationship management, expectation setting, and positive experiment and program results, by executing research, hypothesis ideation,…
Added 11 hours ago
G
Web Developer
GAIN
Vancouver, BC
- $65,000 to $75,000 CAD / year
- Full-time
GAIN is a creative-led, insight-driven company that blends data, tech, and creativity. We believe the best ideas emerge where intelligence and creativity unite, where insight sparks…
Added 11 hours ago
BB
System Designer - AV
Bosch Building Technologies North America
Vancouver, BC
- Full-time
Conducts surveys to gather field data; prepares drawings, layouts, and other visual aids; prepares technical construction drawings. Reviews the development of designs for compliance with…
Added 11 hours ago
L
Financial Analyst
LexisNexis
Toronto, ON
- Full-time
Experience with data control, data management, and information retrieval tools
Added 11 hours ago
S
Email & CRM Lead
Spinrite
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
- Data proficiency: You can generate performance reports, interpret test results, and translate the findings into clear recommendations.
Added 11 hours ago
FH
Clinical Pharmacist - Eagle Ridge Hospital
Fraser Health
BC · Tri-Cities / Coquitlam / Port Coquitlam / Port Moody, British Columbia
- Full-time
…care resources, to the IT professional enabling life-saving data, to the nurse and physician on the front line of patient care, everyone plays a role in the care continuum. Together, we…
Added 11 hours ago
TI
Experimentation Consultant
This is Gain Ltd
Remote, Canada
- $82,000 to $90,000 CAD / year
- Full-time
- Remote
…satisfaction through proactive client communication, relationship management, expectation setting, and positive experiment and program results, by executing research, hypothesis ideation,…
Added 11 hours ago
TI
Web Developer
This is Gain Ltd
Remote, Canada
- $65,000 to $75,000 CAD / year
- Full-time
- Remote
GAIN is a creative-led, insight-driven company that blends data, tech, and creativity. We believe the best ideas emerge where intelligence and creativity unite, where insight sparks…
Added 11 hours ago
WP
Store Leader - West 4th Ave
Warby Parker
Vancouver, BC
- Full-time
…peers through our annual Store Leader Summit. Previous retail management experience, paired with strong leadership skills, will set you up for success in this role. Sound like the job for…
Added 11 hours ago
Sr Business Analyst - Disruption Management
WestJet Group
Calgary, AB
WestJet is looking for an experienced Senior Business Analyst to join our Disruption Management team, reporting into the Portfolio Manager, Disruption Management.
Added 11 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
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…

Dayforce

Forward Deployed AI Engineer Sr - Analytics

Canada

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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

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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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