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Added 9 mins ago
Enterprise Account Executive - Energy Industry
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Calgary, AB
…tied directly to your results. You show up with intensity, lead with humility, and never make…
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Adjoint(e) de direction / Executive Assistant
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VP, Creator Marketing (Health & Financial Services)
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- $130,000 to $180,000 CAD / year
- Full-time
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VP, Creator Marketing (CPG/Food & Beverage)
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- $130,000 to $180,000 CAD / year
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Finance & Accounting Lead
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data administrator
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Qlik

AI Agent Engineer

Canada

$92,700 to $116,000 CAD / year · Full-time

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Job details

Pay: $92,700 to $116,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

What makes us Qlik?

A Gartner® Magic Quadrant™ Leader for 16 years in a row, Qlik helps teams get more out of AI with trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk and operating costs, while scaling AI responsibly.

Used by 75% of the Fortune 500, Qlik works with the systems organizations already use, maintaining flexibility without lock-in.

The Agentic AI Engineer Role

Most AI programs stall between the build and the business. Someone architects something impressive, and then it sits - ungoverned, unadopted, and underperforming. The Agentic AI Engineer exists to make sure that never happens at Qlik.

This role has a clear mandate: scale and run the AI agent program that transforms how we serve 35,000 customers. You'll design the agents, define where they act, govern their quality, and bring our frontline teams along for the ride. No handoffs between 'the builder' and 'the operator' because you are both.

What makes this role interesting?

You’ll own the full lifecycle of an AI agent program from building the reasoning logic to governing how agents perform across 35,000 customer accounts. There’s no template for this; you’re defining it.
You’ll work at genuine technical depth (LLMs, n8n, RAG, APIs, Salesforce integrations) while also shaping strategy by deciding where agents should act, how quality is governed, and how frontline teams adopt AI as a co-pilot.
The impact is direct and measurable – reduction in formal escalations, automation of routine tasks for Cohort Leaders, and real-time visibility into every customer interaction across the book of business.
The challenge: this is a greenfield program in an environment defining its own processes. You’ll need to be equally comfortable in a terminal and in a cross-functional planning meeting.

Here’s how you’ll be making an impact:

AI Agent Architecture & Development - You will primarily architect and integrate AI agent systems end-to-end, from concept through deployment.
Design and build AI agents from use case scoping and system prompt engineering through deployment and handoff to operational workflows
Develop automation pipelines using tools like n8n, integrating with core systems such as Salesforce to trigger the right interventions at the right moments
Define and implement data pipelines that feed agents the right context at the right time - including ingesting Value Erosion signals and translating them into automated Action plays
Build technical diagnostic logic to detect Value Erosion in real time, including automated identification of product defects and cases exceeding 5–10 support touchpoints without resolution
Collaborate with IT and the AI Practice on LLM, RAG, and API integrations into the Intelligent Front Door (IFD)
Instrument agents for observability - building in the feedback loops and evaluation criteria needed to measure quality and determine automation readiness
Execute rigorous testing to ensure all agents meet defined Confidence Gates before graduating to autonomous operation
Produce clear technical documentation and runbooks to support smooth handoffs and operational continuity
Contribute to roadmap planning by identifying new agentic use cases within the COI org Journey Orchestration & Experience Governance Beyond the build, you will own how agents are deployed and how the customer experience is governed
Define the precise insertion points across the customer journey where AI agents should act to automate adoption tasks and multiply Cohort Leader capacity
Lead the “Delight Audit” - reviewing human and agent interactions across the full account base to surface product, support, and experience improvement opportunities
Analyze audited touchpoints to identify Value Creation opportunities, specifically where improvements in education and knowledge can turn a neutral interaction into a delightful one
Own the Agent Health Dashboard, tracking universal KPIs (Accuracy, Adoption) and usecase specific KPIs (Value Enhancement Score, Time-to-Resolution) Change Management & Enablement
Lead the rollout of AI agents to frontline CSMs and Support teams, enabling them to confidently co-pilot with AI
Translate audit findings into actionable feedback loops for Product, Support, and Data Intelligence teams
Drive the automatic drafting of Knowledge Base articles from resolved cases, closing documentation and education gaps in real time

What we offer:

A comprehensive onboarding experience paired with mentorship from seasoned professionals to ensure a strong start. Our supportive and inclusive culture fosters curiosity, creativity, and personal growth, while providing exposure to career paths across sales, marketing operations, and analytics.

Team members have access to a variety of professional development tools, training programs, and networking opportunities. In addition, we provide a competitive salary and benefits package to support your overall well-being and success.

We’re looking for a teammate with:

Proven experience building and deploying AI agents or intelligent automation systems in a customer-facing environment
Strong operational instincts - you can define where and when agents act, not just how they work
A quality-first mindset with a track record of building governance frameworks, testing protocols, or audit processes for AI systems
Hands-on experience building with LLMs including prompt engineering, tool/function calling, and agentic design patterns
Familiarity with workflow automation platforms such as n8n, Make, or similar
Ability to work with APIs and webhooks - comfortable pulling and handling data from CRM systems like Salesforce
Strong systems thinking - you design for reliability and edge cases, not just the happy path
Comfortable operating in ambiguity - this team defines processes as it builds them
Collaborative - you work across functions and can translate technical decisions for nontechnical stakeholders

The location for this role is:

Ottawa, Canada

Hybrid:

Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities!

More about Qlik and who we are:

Find out more about ‘Life at Qlik’ on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page.

What else do we offer?

National Capital Region's 2026 Top Employers in Canada: https://reviews.canadastop100.com/top-employer-qliktech
Genuine career progression pathways and mentoring programs.
Culture of innovation, technology, collaboration, and openness.
Flexible, diverse, and international work environment.

Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs

The anticipated base salary range for this role is $CAD 92700 – 116000 per year. Final compensation offered by Qlik will be based on factors such as the candidate’s location, job-related skills, education, experience, and other business and organizational needs. Qlik offers a comprehensive benefits package, eligibility requirements for benefits will be controlled by applicable Qlik plan documents and policies.

If you need assistance applying for a role due to a disability, please submit your request via email to accessibilityta@qlik.com. Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice. Qlik may only respond to emails related to accommodation requests.

Qlik uses artificial intelligence (e.g. Talent Intelligence developed by Eightfold) to screen and summarize resumes, assess and evaluate candidates, and score candidates for all positions at Qlik. Any hiring decision will involve a human review, and you will not be subject to decisions based solely on automated means. For questions about this tool, contact accessibilityta@qlik.com.

Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.

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More about this job

Responsibilities

You will architect, build, and govern AI agent systems end-to-end to automate customer-facing workflows and improve operational efficiency. Additionally, you will lead the rollout of these agents to frontline teams and manage the ongoing customer experience governance.

Requirements

The role requires proven experience in building and deploying AI agents or intelligent automation systems in a customer-facing environment. Candidates must possess strong operational instincts, hands-on experience with LLMs and workflow automation tools, and the ability to work effectively across cross-functional teams.

Skills

AI agent architecture
LLMs
Prompt engineering
n8n
RAG
API integration
Salesforce
Automation pipelines
Data pipelines
Technical documentation
Systems thinking
Change management
Observability
Quality governance

Benefits

Mentorship programs
Professional development tools
Training programs
Networking opportunities
Competitive salary
Change the world day
Personal development day
Corporate responsibility employee programs

Visa sponsorship

Not detected in the job text

Keywords

AI Agent
LLM
RAG
n8n
Salesforce
Automation
API
Webhooks
Prompt Engineering
Data Pipelines
Customer Success
Observability
Governance
CRM
Intelligent Front Door
Value Erosion
Technical Documentation
Change Management
Analytics
System Architecture

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