Who we are:

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an AI Agent Developer who will drive the internal AI Agent Centre of Excellence (CoE) at Geotab. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As an AI Agent Developer your key area of responsibility will be to identify, develop, and deploy AI agents that address internal business challenges and deliver measurable ROI. Close collaboration with the existing Generative AI product team is expected, with an emphasis on internal applications. The main goal will be to accelerate the adoption of AI agents internally through high-impact projects.

How you'll make an impact:

In concert with executive AI stakeholders across the organization, develop and implement the vision, strategy, and operating model for the internal AI Agent CoE, mirroring successful aspects of the Data CoE.
Define governance frameworks, best practices, and standards for internal AI agent development, deployment, and maintenance.
Develop best practices for inclusion of knowledge into our agents (but the responsibility of knowledge management at Geotab is not in scope)
Establish processes for identifying, prioritizing, and managing a portfolio of internal AI agent use cases.
Partner closely with business units across the enterprise to understand their processes, pain points, and opportunities for AI agent application.
Identify and qualify (with the assistance of key stakeholders) high-potential use cases where AI agents can deliver significant ROI, efficiency gains, or operational improvements.
Prioritize initiatives based on feasibility, business impact, and strategic alignment, focusing initially on a specific area for rapid, iterative deployment to production.
Lead the design, development (including hands-on coding/prototyping initially), testing, and deployment of pilot and production AI agent solutions.
Collaborate extensively with the existing GenAI team to understand and potentially leverage their agentic platform, tools, and expertise for internal use cases, ensuring synergy and avoiding redundant efforts.
Work closely with Technical Operations, the Cloud Business Office, IT, Security, Data Governance, and other relevant teams to ensure compliant, secure, scalable deployments and the selection/use of appropriate cloud tools and services.
The goal is to implement a few pilots and educate other teams how to benefit from agents, rather than this team being a bottleneck -- taking a federated approach
Serve as the primary point of contact and subject matter expert for internal AI agent capabilities.
Build strong relationships with stakeholders across various departments, including technical and business teams, and learning and development, to foster collaboration and drive adoption.
Evangelize the potential of AI agents internally through demonstrations, workshops, and knowledge sharing; act as a change agent.
Define key performance indicators (KPIs) and metrics to measure the success and ROI of implemented AI agents (e.g., time saved, cost reduction, process improvement).
Monitor agent performance, gather user feedback, and drive continuous improvement cycles.
Report on CoE progress, outcomes, and value generated to senior leadership.
Stay abreast of the latest advancements in AI, Large Language Models (LLMs), agentic frameworks, prompt engineering, and enabling technologies.
In collaboration with the Cloud Business Office and Technical Operations, evaluate and recommend appropriate cloud tools, platforms, and services to support AI agent development and deployment across the enterprise.
Evaluate new tools and techniques for potential application within the enterprise context.

What you'll bring to the role:

Demonstrated experience with Generative AI concepts, LLMs (e.g., GPT series, Claude, Llama), and related technologies (e.g., vector databases, embedding models, prompt engineering).
Hands-on experience developing AI-driven applications, automations, or prototypes; specific experience building or working with AI agents or agentic frameworks (e.g., LangChain, CrewAI, AutoGen, Microsoft Copilot Studio/Frameworks) is highly desirable.
Strong ability to identify business problems/opportunities and translate them into tangible technical solutions.
Proven ability to lead initiatives from concept to production, manage projects, and influence stakeholders in a corporate environment.
Experience working collaboratively across technical and non-technical teams, including infrastructure and operations teams.
Experience operating in or establishing a CoE structure is a plus.
Proficiency in Python and relevant AI/ML libraries (e.g., scikit-learn, pandas, libraries for interacting with LLMs).
Experience interacting with LLM APIs and understanding their capabilities, limitations, and cost implications.
Solid understanding of software development best practices (e.g., version control with Git, testing, CI/CD concepts).
Familiarity with data integration patterns, APIs (RESTful), and core cloud infrastructure concepts and services (AWS, Azure, or GCP).
Excellent communication (written and verbal), presentation, and interpersonal skills – ability to explain complex concepts to diverse audiences.
Strong analytical and problem-solving abilities.
Strategic thinking combined with a pragmatic, results-oriented, "get-it-done" approach.
Ability to operate independently, manage ambiguity, and drive initiatives forward.
Passion for AI and its potential to transform business operations internally.
Strong business acumen.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

This posting is for an existing vacancy.

Why job seekers choose Geotab:

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work:

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.

The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.

Hiring Range

$101,600—$132,000 CAD